{
    "info": {
        "author": "Michal Korman",
        "author_email": "m.korman94@gmail.com",
        "bugtrack_url": null,
        "classifiers": [
            "Programming Language :: Python :: 3",
            "Topic :: Scientific/Engineering :: Artificial Intelligence"
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        "description": "## What is agios?\n\nagios is an open source, Python 3 library for playing with genetic algorithms. Main functionality includes:   \n\n* Generic API allowing to easily implement custom tasks\n\n* Highly customizable algorithm execution cycle\n\n* Multithreading support\n\n* Built-in support for images processing\n\n* Multidimensional data processing\n\n\n\nTODO list includes:\n\n* Support for PyCUDA and processing on GPU\n\n\n\n## How to install it?\n\n```\n\npip install agios\n\n```\n\n\n\n## Where is an example code?\n\n```python\n\nfrom agios import evolution\n\nfrom agios import extras\n\n\n\nblueprint = extras.load_normalized_image('input/mona_lisa.jpg', extras.Greyscale)\n\n\n\nevolution_problem_solver = evolution.SimpleSolver(\n\n    population_size=100,\n\n    best_samples_to_take=2,\n\n    blueprint=evolution.NumpyArraySample(blueprint),\n\n    mutator=evolution.SimplePaintbrushMatrixMutator((10, 15), (10, 50)),\n\n    crosser=evolution.MeanValueMatrixCrosser(),\n\n    loss_calculator=evolution.SquaredMeanMatrixLossCalculator(),\n\n    initial_sample_state_generator=evolution.RandomMatrixGenerator(blueprint.shape)\n\n)\n\n\n\nfor _ in range(10000):\n\n    evolution_problem_solver.step()\n\n```\n\n\n\nLive examples can be found in examples/ directory.\n\n\n\n## How to contribute?\n\nReport observed issues or provide working pull request. Pull request must be verified before merging and it must include the following:\n\n* Unit tests\n\n* Public API marked with static typing annotations (typing module)\n\n* Public classes must include brief documentation\n\n\n",
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        "home_page": "https://github.com/mkorman9/agios",
        "keywords": "ai genetic algorithms",
        "license": "MIT",
        "maintainer": "",
        "maintainer_email": "",
        "name": "agios",
        "package_url": "https://pypi.org/project/agios/",
        "platform": "",
        "project_url": "https://pypi.org/project/agios/",
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        "requires_dist": [
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        "summary": "Simple genetic algorithms framework for Python",
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