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        "author": "Daniel Molina",
        "author_email": "dmolina@decsai.ugr.es",
        "bugtrack_url": null,
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            "License :: OSI Approved :: GNU General Public License v3 or later (GPLv3+)"
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        "description": "Introduction\n============\n\nThis is a Python wrapping using the C++ Implementation of the test suite for the\nSpecial Session on Large Scale Global Optimization at 2019 IEEE Congress on\nEvolutionary Computation http://cec2019.org/programs/competitions.html#cec-06.\n\nhttp://www.ntu.edu.sg/home/epnsugan/index_files/CEC2019/CEC2019.htm\n\n\nNote\n----\nIf you are to use any part of this code, please cite the following publications:\n\n   K. V. Price, N. H. Awad, M. Z. Ali, P. N. Suganthan, \"Problem Definitions and\n   Evaluation Criteria for the 100-Digit Challenge Special Session and\n   Competition on Single Objective Numerical Optimization,\"  Technical Report,\n   Nanyang Technological University, Singapore, November 2018.\n\nhttp://web.mysites.ntu.edu.sg/epnsugan/PublicSite/Shared%20Documents/Forms/AllItems.aspx?RootFolder=%2fepnsugan%2fPublicSite%2fShared%20Documents%2fCEC%2d2019&FolderCTID=&View=%7bDAF31868%2d97D8%2d4779%2dAE49%2d9CEC4DC3F310%7d\n\nRequirements\n------------\n\n- GNU Make\n- GNU G++\n- Python\n- Cython\n\nTesting Environment\n-------------------\n\n- Debian GNU/Linux jessie/sid\n- GNU Make 3.81\n- g++ (Debian 4.7.3-4) 4.7.3\n- Python 2.7 and Python 3.2\n- numpy 1.8.1\n- cython 0.20.1\n\nInstalation\n-----------\n\nIt is pending to submit to pip, when it is ready.\n\nVery easy, *pip install cec2019comp100digit* ;-). \n\nYou can also download from https://github.com/dmolina/cec2019comp100digit, and do *python setup.py install [--user]*.\n(the option *--user* is for installing the package locally, as a normal user (interesting when you want to \nrun the experiments in a cluster/server without administration permissions).\n\nTo compile the source code in C++\n----------------------------------\n\nThe source code in C++ is also available. If you want to compile only the C++\nversion type in 'make' in the root directory of source code. \n\nThere are two equivalents demo executables: demo and demo2. \n\n**REMEMBER: To run the C++ version the directory input_data must be available in the working directory**. \nIn the python version, these files are included in the packages, so it is not\nneeded.\n\nQuickstart\n----------\n\nThe package is very simple to use. There is a package cec2019comp100digit with\nthree functions:\n\n- **init(fun_id, Dim)**\n  Init the function for the dimension selected.\n\n- **eval(sol)**\n  Eval the solution, when sol is a numpy (or array) of dimension *Dim*.\n\n- **end()**\n  Free resources.\n\nInit function\n-------------\n>>> from cec2019comp100digit import cec2019comp100digit\n>>> bench = cec2019comp100digit\n>>> bench.init(3, 10) # Init function 3\n\nCreate a random solution\n~~~~~~~~~~~~~~~~~~~~~~~~\n>>> import numpy as np\n>>> sol = np.random.rand(10)\n\nEvaluate a solution\n~~~~~~~~~~~~~~~~~~~\n>>> bench.eval(sol)\n18010038.104525752\n\nFreeing resources\n~~~~~~~~~~~~~~~~~\n>>> bench.end()\n\nContact\n-------\n\nPython package \n  Daniel Molina @ Computer Science Deparment, University of Granada\n  Please feel free to contact me at <dmolina@decsai.ugr.es> for any enquiries or\n  suggestions.\n\n\nLast Updated\n~~~~~~~~~~~~\n- C++ version\n  <2018-12-08>\n\n- Python wrapping\n  <2018-12-08>",
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