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        "author": "Peter Norvig <peter.norvig@gmail.com>, Darius Bacon <withal@gmail.com>, Spotted Metal? <spottedMetal@gmail.com>, S R Burnet? <srburnet@gmail.com>, Phil Ruggera, Peng Shao, Amit Patil, Ted Nienstedt, Jim Martin, Ben Catanzariti, Hobson Lane <admin@totalgood.com>",
        "author_email": "peter.norvig@gmail.com",
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            "Development Status :: 3 - Alpha",
            "Environment :: Console",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: MIT License",
            "Operating System :: OS Independent",
            "Programming Language :: Python",
            "Programming Language :: Python :: 2.5",
            "Topic :: Scientific/Engineering :: Artificial Intelligence",
            "Topic :: Scientific/Engineering :: Mathematics",
            "Topic :: Scientific/Engineering :: Visualization",
            "Topic :: Software Development :: Libraries :: Python Modules"
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        "description": "Introduction\n============\n\nThis file gives an overview of the Python code for the algorithms in the\ntextbook Artificial Intelligence: A Modern Approach, also known as AIMA.\nThe code is offered free for your use under the MIT License. As you may\nknow, the textbook presents algorithms in pseudo-code format; as a\nsupplement we provide this code. The intent is to implement all the\nalgorithms in the book, but we are not done yet.\n\nPrerequisites\n=============\n\nThe code is meant for Python 2.5 through 2.7.\n\nHow to Browse the Code\n======================\n\nYou can get some use out of the code here just by browsing, starting at\nthe root of the source tree or by clicking on the links in the index on\nthe project home page. The source code is in the .py files; the .txt\nfiles give examples of how to use the code.\n\nHow to Install the Code\n=======================\n\nIf you like what you see, install the code using either one of these\nmethods:\n\nFrom a command shell on your computer, execute the svn checkout command\ngiven on the source tab of the project. This assumes you have previously\ninstalled the version control system Subversion (svn). Download and\nunzip the zip file listed as a \"Featured download\"on the right hand side\nof the project home page. This is currently (Oct 2011) long out of date;\nwe mean to make a new .zip when the svn checkout settles down.\n\nYou'll also need to install the data files from the aima-data project.\nThese are text files that are used by the tests in the aima-python\nproject, and may be useful for yout own work.\n\nYou can put the code anywhere you want on your computer, but it should\nbe in one directory (you might call it aima but you are free to use\nwhatever name you want) with aima-python as a subdirectory that contains\nall the files from this project, and data as a parallel subdirectory\nthat contains all the files from the aima-data project.\n\nHow to Test the Code\n====================\n\nFirst, you need to install Python (version 2.5 through 2.7; parts of the\ncode may work in other versions, but don't expect it to). Python comes\npreinstalled on most versions of Linux and Mac OS. Versions are also\navailable for Windows, Solaris, and other operating systems. If your\nsystem does not have Python installed, you can download and install it\nfor free.\n\nIn the aima-python directory, execute the command\n\n::\n\n    python doctests.py -v *.py\n\nThe \"-v\" is optional; it means \"verbose\". Various output is printed, but\nif all goes well there should be no instances of the word \"Failure\", nor\nof a long line of \"\". If you do use the \"-v\" option, the last line\nprinted should be \"Test passed.\"\n\nHow to Run the Code\n===================\n\nYou're on your own -- experiment! Create a new python file, import the\nmodules you need, and call the functions you want.\n\nAcknowledgements\n================\n\nMany thanks for the bug reports, corrected code, and other support from\nPhil Ruggera, Peng Shao, Amit Patil, Ted Nienstedt, Jim Martin, Ben\nCatanzariti, and others.",
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