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    "info": {
        "author": "Juha Jeronen",
        "author_email": "juha.m.jeronen@gmail.com",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 4 - Beta",
            "Environment :: Console",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: BSD License",
            "Operating System :: POSIX :: Linux",
            "Programming Language :: Python",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.4",
            "Topic :: Software Development :: Libraries",
            "Topic :: Software Development :: Libraries :: Python Modules"
        ],
        "description": "We provide missing features for Python, mainly from the list processing\ntradition, but with some haskellisms mixed in. We place a special emphasis on\n**clear, pythonic syntax**.\n\nOptionally, we also provide extensions to the Python language as a set of\nsyntactic macros that are designed to work together. Each macro adds an\northogonal piece of functionality that can (mostly) be mixed and matched\nwith the others.\n\nDesign considerations are simplicity, robustness, and minimal dependencies.\nCurrently none required; MacroPy optional, to enable the syntactic macros.\n\n**Without macros**, our features include tail call optimization (TCO), TCO'd\nloops in FP style, call/ec, let & letrec, assign-once, multi-expression lambdas,\ndynamic assignment (a.k.a. *parameterize*, *special variables*), memoization\n(also for generators and iterables), currying, function composition,\nfolds and scans (left and right), unfold, lazy partial unpacking of iterables,\nfunctional update for sequences, pythonic lispy linked lists (``cons``), and\ncompact syntax for creating mathematical sequences that support infix math.\n\nOur curry modifies Python's reduction rules. It passes any extra arguments\nthrough on the right, and calls a callable return value on the remaining\narguments, so that we can::\n\n    mymap = lambda f: curry(foldr, composerc(cons, f), nil)\n    myadd = lambda a, b: a + b\n    assert curry(mymap, myadd, ll(1, 2, 3), ll(2, 4, 6)) == ll(3, 6, 9)\n\n    with_n = lambda *args: (partial(f, n) for n, f in args)\n    clip = lambda n1, n2: composel(*with_n((n1, drop), (n2, take)))\n    assert tuple(curry(clip, 5, 10, range(20))) == tuple(range(5, 15))\n\nIf MacroPy is installed, ``unpythonic.syntax`` becomes available. It provides\nmacros that essentially extend the Python language, adding features that would\nbe either complicated or impossible to provide (and/or use) otherwise.\n\n**With macros**, we add automatic currying, automatic tail-call optimization\n(TCO), call-by-need (lazy functions), continuations (``call/cc`` for Python),\n``let-syntax`` (splice code at macro expansion time), lexically scoped\n``let`` and ``do`` with lean syntax, implicit return statements, and\neasy-to-use multi-expression lambdas with local variables.\n\nThe TCO macro has a fairly extensive expression analyzer, so things like\n``and``, ``or``, ``a if p else b`` and any uses of the ``do[]`` and ``let[]``\nmacros are accounted for when performing the tail-call transformation.\n\nThe continuation system is based on a semi-automated partial conversion into\ncontinuation-passing style (CPS), with continuations represented as closures.\nIt also automatically applies TCO, using the same machinery as the TCO macro.\nTo keep the runtime overhead somewhat reasonable, the continuation is captured\nonly where explicitly requested with ``call_cc[]``.\n\nMacro examples::\n\n    # let, letseq (let*), letrec with no boilerplate\n    a = let((x, 17),\n            (y, 23))[\n              (x, y)]\n\n    # alternate haskelly syntax\n    a = let[((x, 21),(y, 17), (z, 4)) in x + y + z]\n    a = let[x + y + z, where((x, 21), (y, 17), (z, 4))]\n\n    # cond: multi-branch \"if\" expression\n    answer = lambda x: cond[x == 2, \"two\",\n                            x == 3, \"three\",\n                            \"something else\"]\n    assert answer(42) == \"something else\"\n\n    # do: imperative code in any expression position\n    y = do[local[x << 17],\n           print(x),\n           x << 23,\n           x]\n    assert y == 23\n\n    # autocurry like Haskell\n    with curry:\n        def add3(a, b, c):\n            return a + b + c\n        assert add3(1)(2)(3) == 6\n        # actually partial application so these work, too\n        assert add3(1, 2)(3) == 6\n        assert add3(1)(2, 3) == 6\n        assert add3(1, 2, 3) == 6\n\n        mymap = lambda f: foldr(composerc(cons, f), nil)\n        myadd = lambda a, b: a + b\n        assert mymap(myadd, ll(1, 2, 3), ll(2, 4, 6)) == ll(3, 6, 9)\n\n    # lazy functions (call-by-need) like Haskell\n    with lazify:\n        def f(a, b):\n            return a\n        def g(a, b):\n            return f(2*a, 3*b)\n        assert g(21, 1/0) == 42  # the 1/0 is never evaluated\n\n    # automatic tail-call optimization (TCO) like Scheme, Racket\n    with tco:\n        assert letrec((evenp, lambda x: (x == 0) or oddp(x - 1)),\n                      (oddp,  lambda x: (x != 0) and evenp(x - 1)))[\n                        evenp(10000)] is True\n\n    # lambdas with multiple expressions, local variables, and a name\n    with multilambda, namedlambda:\n        myadd = lambda x, y: [print(\"myadding\", x, y),\n                              local[tmp << x + y],\n                              print(\"result is\", tmp),\n                              tmp]\n        assert myadd(2, 3) == 5\n        assert myadd.__name__ == \"myadd\"\n\n    # implicit \"return\" in tail position, like Lisps\n    with autoreturn:\n        def f():\n            print(\"hi\")\n            \"I'll just return this\"\n        assert f() == \"I'll just return this\"\n\n        def g(x):\n            if x == 1:\n                \"one\"\n            elif x == 2:\n                \"two\"\n            else:\n                \"something else\"\n        assert g(1) == \"one\"\n        assert g(2) == \"two\"\n        assert g(42) == \"something else\"\n\n    # splice code at macro expansion time\n    with let_syntax:\n        with block(a) as twice:\n            a\n            a\n        with block(x, y, z) as appendxyz:\n            lst += [x, y, z]\n        lst = []\n        twice(appendxyz(7, 8, 9))\n        assert lst == [7, 8, 9]*2\n\n    # lispy prefix syntax for function calls\n    with prefix:\n        (print, \"hello world\")\n\n    # the LisThEll programming language\n    with prefix, curry:\n        mymap = lambda f: (foldr, (compose, cons, f), nil)\n        double = lambda x: 2 * x\n        (print, (mymap, double, (q, 1, 2, 3)))\n        assert (mymap, double, (q, 1, 2, 3)) == ll(2, 4, 6)\n\n    # the HasThon programming language\n    with curry, lazify:\n        def add2first(a, b, c):\n            return a + b\n        assert add2first(2)(3)(1/0) == 5\n\n        assert letrec[((c, 42),\n                       (d, 1/0),\n                       (e, 2*c)) in\n                      add2first(c)(e)(d)] == 126\n\n    # call/cc for Python\n    with continuations:\n        stack = []\n        def amb(lst, cc):  # McCarthy's amb operator\n            if not lst:\n                return fail()\n            first, *rest = tuple(lst)\n            if rest:\n                ourcc = cc\n                stack.append(lambda: amb(rest, cc=ourcc))\n            return first\n        def fail():\n            if stack:\n                f = stack.pop()\n                return f()\n\n        def pythagorean_triples(maxn):\n            z = call_cc[amb(range(1, maxn+1))]\n            y = call_cc[amb(range(1, z+1))]\n            x = call_cc[amb(range(1, y+1))]\n            if x*x + y*y != z*z:\n                return fail()\n            return x, y, z\n        x = pythagorean_triples(20)\n        while x:\n            print(x)\n            x = fail()\n\n    # if Python didn't already have generators, we could add them with call/cc:\n    with continuations:\n        @dlet((k, None))  # let-over-def decorator\n        def g():\n            if k:\n                return k()\n            def my_yield(value, cc):\n                k << cc        # rebind the k in the @dlet env\n                cc = identity  # override current continuation\n                return value\n            # generator body\n            call_cc[my_yield(1)]\n            call_cc[my_yield(2)]\n            call_cc[my_yield(3)]\n        out = []\n        x = g()\n        while x is not None:\n            out.append(x)\n            x = g()\n        assert out == [1, 2, 3]\n\nFor documentation and full examples, see the project's GitHub homepage,\nand the docstrings of the individual features. For even more examples,\nsee the unit tests included in the source distribution.\n\n\n",
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        "keywords": "functional-programming,language-extension,syntactic-macros,tail-call-optimization,tco,continuations,currying,lazy-evaluation,dynamic-variable,macros,lisp,scheme,racket,haskell",
        "license": "BSD",
        "maintainer": "",
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        "name": "unpythonic",
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