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        "author": "Simon Bowly",
        "author_email": "simon.bowly@gmail.com",
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            "Development Status :: 2 - Pre-Alpha",
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            "License :: OSI Approved :: MIT License",
            "Natural Language :: English",
            "Programming Language :: Python :: 2",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6"
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        "description": "Destined\n========\n\nDEclarative Specification for Test INstancE Distributions\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n\nDeclare a distribution of instances by specifying function parameters.\n\n.. code:: json\n\n    {\n        \"generator\": \"graphs.erdos_renyi\",\n        \"parameters\":\n        {\n            \"nodes\": {\"value\": 100},\n            \"edges\": {\"value\": 2500}\n        }\n    }\n\nNest distribution specifications to vary parameters.\n\n.. code:: json\n\n    {\n        \"generator\": \"graphs.erdos_renyi\",\n        \"parameters\":\n        {\n            \"nodes\": {\"value\": 100},\n            \"edges\":\n            {\n                \"generator\": \"randint\",\n                \"parameters\":\n                {\n                    \"low\": {\"value\": 100},\n                    \"high\": {\"value\": 4000}\n                }\n            }\n        }\n    }\n\nSample from the distribution using system seeds.\n\n.. code:: sh\n\n    destined evaluate examples/random-graphs.json 1000 -\n\nExamples\n~~~~~~~~\n\nMeasure connectivity of a particular model of random graphs:\n\n.. code:: json\n\n    {\n        \"instances\": {\n            \"generator\": \"graphs.undirected_noloop_erdos_renyi_np\",\n            \"parameters\": {\n                \"nodes\": {\n                    \"generator\": \"choice\",\n                    \"parameters\": {\n                        \"seq\": {\"value\": [10, 20, 50, 100]}\n                    }\n                },\n                \"prob\": {\n                    \"generator\": \"uniform\",\n                    \"parameters\": {\n                        \"low\": {\"value\": 0},\n                        \"high\": {\"value\": 0.6}\n                    }\n                }\n            }\n        },\n        \"attributes\": \"graphs.features\"\n    }\n\nEvaluating this data shows probability of connectedness of these graphs given their density:\n\n.. image:: examples/figures/random-graphs.png\n\nMeasure satisfiability of the uniform random 3-sat model:\n\n.. code:: json\n\n    {\n        \"instances\": {\n            \"generator\": \"sat.uniform_k_sat\",\n            \"parameters\": {\n                \"nvariables\": {\"value\": 100},\n                \"nclauses\": {\n                    \"generator\": \"randint\",\n                    \"parameters\": {\n                        \"low\": {\"value\": 10},\n                        \"high\": {\"value\": 1000}\n                    }\n                },\n                \"clause_length\": {\"value\": 3}\n            }\n        },\n        \"attributes\": \"sat.features\"\n    }\n\nEvaluating this data shows probability of feasibility of these formulae given the clause/variable ratio:\n\n.. image:: examples/figures/random-3sat.png\n\n* Free software: MIT license",
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