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        "author": "Venkatesh-Prasad Ranganath",
        "author_email": "",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 5 - Production/Stable",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: BSD License",
            "Operating System :: OS Independent",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6",
            "Topic :: Software Development :: Libraries"
        ],
        "description": "funcipy\n=======\n\nA library to inject common functional programming operations as methods\ninto iterable objects. Currently, it injects\n``filter, flat_map, foldl, foldr, map,`` and ``reduce`` operations along\nwith ``sum, count, any, all, max, min,`` and ``zip`` operations.\n\nGetting the library\n-------------------\n\nThe library can be installed via ``pip install funcipy``. Similarly, it\ncan be uninstalled via ``pip uninstall funcipy``.\n\nUsage\n-----\n\nWhen you want to inject common functional programming operations as\nmethods into an object *Obj*, invoke ``funcipy.funcify`` function with\n*Obj* as the argument. If *Obj* is iterable, then the function will\nreturn an object that\n\n1. provides the same interface as the input object and\n2. has functional programming operations as methods.\n\nOtherwise, *Obj* is returned as is.\n\nHere are few example invocations.\n\n.. code:: python\n\n    from funcipy import funcify\n    import functools\n    import itertools\n    import operator\n\n    i = range(5, 15)\n    print(\"Map function: \" + ' '.join(map(str, i)))\n    tmp1 = funcify(i)\n    print(\"Map function applied to funcified object: \" + ' '.join(map(str, tmp1)))\n    print(\"Map method: \" + ' '.join(tmp1.map(str)))\n    print(\"Map and Filter Method chaining: \" +\n          ' '.join(tmp1.filter(lambda x: x % 2).map(str)))\n\n    print(\"Reduce function: \" + str(functools.reduce(operator.add, i, 5)))\n    print(\"Reduce method: \" + str(tmp1.reduce(operator.add, 5)))\n    print(\"Reduce function: \" + str(functools.reduce(operator.sub, i)))\n    print(\"Foldl method: \" + str(tmp1.foldl(operator.sub)))\n    print(\"Foldr method: \" + str(tmp1.foldr(operator.sub)))\n    print(\"Flat-map operation: \" + ' '.join(itertools.chain.from_iterable(\n        map(str, i))))\n    print(\"Flat-map method: \" + ' '.join(funcify(i).flat_map(str)))\n    print(\"Sum function: \" + str(sum(i)))\n    print(\"Sum method: \" + str(tmp1.sum()))\n    print(\"Count function: \" + str(sum(1 for _ in filter(lambda x: x > 10, i))))\n    print(\"Count method: \" + str(tmp1.count(lambda x: x > 10)))\n    print(\"Max function: \" + str(max(i)))\n    print(\"Max method: \" + str(tmp1.max()))\n    print(\"Min function: \" + str(min(i)))\n    print(\"Min method: \" + str(tmp1.min()))\n    print(\"Any function: \" + str(any(map(lambda x: x > 10, i))))\n    print(\"Any method: \" + str(tmp1.map(lambda x: x > 10).any()))\n    print(\"All function: \" + str(all(map(lambda x: x > 10, i))))\n    print(\"All method: \" + str(tmp1.map(lambda x: x > 10).all()))\n    j = range(0, 7)\n    print(\"Zip function: \" + ' '.join(map(str, zip(i, j))))\n    print(\"Zip method: \" + ' '.join(tmp1.zip(j).map(str)))\n\nAttribution\n-----------\n\nCopyright (c) 2017, Venkatesh-Prasad Ranganath\n\nLicensed under BSD 3-clause \"New\" or \"Revised\" License\n(https://choosealicense.com/licenses/bsd-3-clause/)\n\n**Authors:** Venkatesh-Prasad Ranganath\n\n\n",
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        "keywords": "functional,programming",
        "license": "BSD 3-Clause License",
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        "name": "funcipy",
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