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        "author": "Thomas Guyet",
        "author_email": "thomas.guyet@irisa.fr",
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            "License :: OSI Approved :: MIT License",
            "Operating System :: OS Independent",
            "Programming Language :: Python :: 3"
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        "description": "# PyChronicle package\n\nA chronicle is a specification of the complex temporal behaviors as a temporal constraint graph. It can be used to recognize complex behaviors in sequence the temporal events.\n\nA chronicle is a multiset of events and a set of temporal constraints specifying that occurrences of pairs of events must occurs within a given temporal interval.\n\nThe package implements the model of chronicles and an efficient algorithm to recognize it.\n\nThere are three different ways to recognize chronicle in a sequence of a events:\n* the absence/presence recognition (`c.isrecognize(seq)`): its result is a boolean stating whether the chronicle occur at least once in the sequence, this is the most efficient algorithm\n* the occurrence enumeration (`c.recognize(seq)`): its result is a list of occurrence of the chronicle in a sequence. Contrary to the first implementation, it looks for all possible combinasion of events. Thus it is less efficient\n* the approximate occurrence enumeration (`c.cmp(seq, 0.7)`): its result is a list of occurrences that are similar of the chronicle with a similarity threshold of 0.7.\n\nPlease note that the author is not fully sasitfied by the function name and that it appeals to change them in a short delay ...\n\n# Requirements\n\nUse `pip install -r requirements.txt` to install requirements.\n\nNaturally, the latter may require superuser rights (consider prefixing the commands by sudo).\n\nIf you want to use Python 3 and your system defaults on Python 2.7, you may need to adjust the above commands, e.g., replace pip by pip3.\n\nThe required libraries are the following\n* numpy\n* scipy\n* lazr.restfulclient\n* larz.uri\n\nLAZR is used to instantiate chronicles from CRS files (with simple grammar).\n\n# Usage\n\nExample of usage:\n\n    from pychronicles import *\n    #define a sequence of events\n    seq = [3,4,'b','a','a',1,3,'coucou','b','coucou',5,'coucou',5]\n\n    #define a chronicle\n    c=Chronicle()\n    c.add_event(0,'b')\n    c.add_event(1,1)\n    c.add_constraint(1,3, (3,45))\n    print(c)\n\n    #recognize the chronicle in the sequence\n    occs=c.recognize(seq)\n    print(\"occurrences: \"+str(occs))\n\nIt is possible to specify chronicles using the CRS format. The following code illustrate the syntax for specifying a chronicle in this format.\n\n    chronicle C27_sub_0[]()\n    {\n\t    event(Event_Type1[], t006)\n\t    event(Event_Type1[], t004)\n\t    event(Event_Type2[], t002)\n\t    event(Event_Type3[], t001)\n\n\t    t004-t006 in [17,25]\n\t    t006-t002 in [-16,-10]\n\t    t002-t001 in [14,29]\n\t    t004-t001 in [27,35]\n    }\n\n\n# Authorship\n\n**Author:** Thomas Guyet\n**Institution:** AGROCAMPUS-OUEST/IRISA\n**date:10/2019**\n\n\n\n",
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        "name": "pychronicles",
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