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        "description": "=================================================\nGapSplit: universal sampling for metabolic models\n=================================================\n\n* GapSplit is a sampling algorithm designed to generate uniform, high-coverage sample points on any metabolic model\n* regardless of convexity (i.e. logical/integer constraints).\n\nFunctions\n---------\n\nsample(fname, n_points, lower_bounds=None, upper_bounds=None, n_update=100, n_secondary=0)\n   * Generate samples from a given input model.\n\n   INPUT:\n      * fname - str\n            * String representing path to model file (see gurobipy.read() for acceptable file types).\n\n      * n_points - int\n            * Number of desired sample points.\n\n      * lower_bounds - list/ndarray, optional\n            * FVA minimums for model. Generated if not provided.\n\n      * upper_bounds - list/ndarray, optional\n            * FVA maximums for model. Generated if not provided.\n\n      * n_update - int, optional\n            * Refresh rate (in points) for console output of current model coverage and sample count.\n\n      * n_secondary - int, optional\n            * Number of additional gaps targeted for splitting.\n\n   OUTPUT:\n      * samples - ndarray\n            * n_points by n_reactions array of sample points.\n\n\nDependencies\n------------\n * gurobipy: 7.0 and up (requires download and license from gurobi.com - license provided free for academic users)\n * numpy: 1.14.5\n\n\n",
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