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        "\n# Create an egg\n\nAn egg is made up of two primary pieces of data: `pres`, which are the\nwords/stimuli that were presented to a subject and `rec`, which are the\nwords/stimuli that were recalled by the subject.\n"
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      "source": [
        "# Code source: Contextual Dynamics Laboratory\n# License: MIT\n\nimport quail\n\n\n# generate some fake data\npresented = [{\n                    'item' : 'CAT',\n                    'category' : 'animal',\n                    'size' : 'bigger',\n                    'starting letter' : 'C',\n                    'length' : 3\n                 },\n                 {\n                    'item' : 'DOG',\n                    'category' : 'animal',\n                    'size' : 'bigger',\n                    'starting letter' : 'D',\n                    'length' : 3\n                 },\n                 {\n                    'item' : 'SHOE',\n                    'category' : 'object',\n                    'size' : 'smaller',\n                    'starting letter' : 'S',\n                    'length' : 4\n                 },\n                 {\n                    'item' : 'HORSE',\n                    'category' : 'animal',\n                    'size' : 'bigger',\n                    'starting letter' : 'H',\n                    'length' : 5\n                 }\n]\n\nrecalled = [{\n                    'item' : 'HORSE',\n                    'category' : 'animal',\n                    'size' : 'bigger',\n                    'starting letter' : 'H',\n                    'length' : 5\n                 },\n                 {\n                    'item' : 'DOG',\n                    'category' : 'animal',\n                    'size' : 'bigger',\n                    'starting letter' : 'D',\n                    'length' : 3\n                 },\n                 {\n                    'item' : 'CAT',\n                    'category' : 'animal',\n                    'size' : 'bigger',\n                    'starting letter' : 'C',\n                    'length' : 3\n                 }\n]\n\n# set some custom distance functions\ndist_funcs = {\n                'category' : 'lambda a, b: int(a!=b)',\n                'size' : 'lambda a, b: int(a!=b)',\n                'starting letter' : 'lambda a, b: int(a!=b)',\n                'length' : 'lambda a, b: np.linalg.norm(np.subtract(a,b))'\n}\n\negg = quail.Egg(pres=[presented], rec=[recalled], dist_funcs=dist_funcs)\n\nfegg = egg.analyze('lagcrp')\n\nfegg.plot()"
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