{
    "info": {
        "author": "Yasushi Itoh",
        "author_email": "UNKNOWN",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 4 - Beta",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: MIT License",
            "Operating System :: OS Independent",
            "Programming Language :: Python",
            "Programming Language :: Python :: 3.2",
            "Programming Language :: Python :: 3.3",
            "Programming Language :: Python :: 3.4",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: Implementation :: CPython",
            "Programming Language :: Python :: Implementation :: PyPy",
            "Topic :: Software Development :: Code Generators",
            "Topic :: Software Development :: Compilers"
        ],
        "description": "Mochi\n=====\n\nMochi is a dynamically typed programming language for functional\nprogramming and actor-style programming.\n\nIts interpreter is written in Python3. The interpreter translates a\nprogram written in Mochi to Python3's AST / bytecode.\n\nFeatures\n--------\n\n-  Python-like syntax\n-  Tail recursion optimization (self tail recursion only), and no loop\n   syntax\n-  Re-assignments are not allowed in function definition.\n-  Basic collection type is a persistent data structure. (using\n   Pyrsistent)\n-  Pattern matching / Data types, like algebraic data types\n-  Pipeline operator\n-  Syntax sugar of anonymous function definition\n-  Actor, like the actor of Erlang (using Eventlet)\n-  Macro, like the traditional macro of Lisp\n-  Builtin functions includes functions exported by itertools module,\n   recipes, functools module and operator module\n\nExamples\n--------\n\nFactorial\n~~~~~~~~~\n\n.. code:: python\n\n    def factorial(n, m):\n        if n == 1:\n            m\n        else:\n            factorial(n - 1, n * m)\n\n\n    factorial(10000, 1)\n    # => 28462596809170545189064132121198688...\n\n    # Or\n\n    def factorial:\n        n: factorial(n, 1)\n        0, acc: acc\n        n, acc: factorial(n - 1, acc * n)\n        \n    factorial(10000)\n    # => 28462596809170545189064132121198688...\n\nFizzBuzz\n~~~~~~~~\n\n.. code:: python\n\n    def fizzbuzz(n):\n        match [n % 3, n % 5]:\n            [0, 0]: \"fizzbuzz\"\n            [0, _]: \"fizz\"\n            [_, 0]: \"buzz\"\n            _: n\n\n    range(1, 31)\n    |> map(fizzbuzz)\n    |> pvector()\n    |> print()\n\nActor\n~~~~~\n\n.. code:: python\n\n    def show():\n        receive:\n            message:\n                print(message)\n                show()\n\n    actor = spawn(show)\n\n    send('foo', actor)\n    actor ! 'bar' # send('bar', actor)\n\n    sleep(1)\n    # -> foo\n    # -> bar\n\n\n    'foo' !> spawn(show)\n\n    sleep(1)\n    # -> foo\n\n    ['foo', 'bar'] !&> spawn(show)\n    # The meaning of the above is the same as the meaning of the following.\n    # spawn(show) ! 'foo'\n    # spawn(show) ! 'bar'\n\n    sleep(1)\n    # -> foo\n    # -> bar\n\n    def show_loop():\n        receive:\n            [tag, value]:\n                print(tag, value)\n                show_loop()\n\n    actor2 = spawn(show_loop)\n\n    actor2 ! [\"bar\", 2000]\n    sleep(1)\n    # -> bar 2000\n\n    ['foo', 1000] !> spawn(show_loop)\n    sleep(1)\n    # -> foo 1000\n\n    [['foo', 1000],['bar', 2000]] !&> spawn(show_loop)\n    sleep(1)\n    # -> foo 1000\n    # -> bar 2000\n\n\nDistributed Computing\n~~~~~~~~~~~~~~~~~~~~~\n.. code:: python\n\n    # comsumer.mochi\n    from mochi.actor.mailbox import KombuMailbox, ZmqInbox, SQSMailbox\n\n    def consumer():\n        receive:\n            'exit':\n                print('exit!')\n            other:\n                print(other)\n                consumer()\n\n    kombu_mailbox = KombuMailbox('sqs://<access_key_id>@<secret_access_key>:80//',\n                                 '<queue_name>',\n                                 dict(region='<region>'))\n    spawn_with_mailbox(consumer, kombu_mailbox)\n\n    zmq_mailbox = ZmqInbox('tcp://*:9999')\n    spawn_with_mailbox(consumer, zmq_mailbox)\n\n    sqs_mailbox = SQSMailbox('<queue_name>')\n    spawn_with_mailbox(consumer, sqs_mailbox)\n\n    wait_all()\n\n\n.. code:: python\n\n    # producer.mochi\n    from mochi.actor.mailbox import KombuMailbox, ZmqOutbox, SQSMailbox\n\n    kombu_mailbox = KombuMailbox('sqs://<access_key_id>@<secret_access_key>:80//',\n                                 '<queue_name>',\n                                 dict(region='<region>'))\n    kombu_mailbox ! [1, 2, 3]\n    kombu_mailbox ! 'exit'\n\n    zmq_mailbox = ZmqOutbox('tcp://localhost:9999')\n    zmq_mailbox ! [4, 5, 6]\n    zmq_mailbox ! 'exit'\n\n    sqs_mailbox = SQSMailbox('<queue_name>')\n    sqs_mailbox ! [7, 8, 9]\n    sqs_mailbox ! 'exit'\n\n\nFlask\n~~~~~\n\n.. code:: python\n\n    from flask import Flask\n\n    app = Flask('demo')\n\n    @app.route('/')\n    def hello():\n        'Hello World!'\n\n    app.run()\n\nRxPY\n~~~~\n\n.. code:: python\n\n    # usage: mochi -no-mp timer.mochi\n    # original:\n    # https://github.com/ReactiveX/RxPY/blob/master/examples/parallel/timer.py\n\n    import rx\n    import concurrent.futures\n    import time\n\n    seconds = [5, 1, 2, 4, 3]\n\n\n    def sleep(t):\n        time.sleep(t)\n        return t\n\n\n    def output(result):\n        print('%d seconds' % result)\n\n\n    with concurrent.futures.ProcessPoolExecutor(5) as executor:\n        rx.Observable.from_(seconds)\n                     .flat_map((s) -> executor.submit(sleep, s))\n                     .subscribe(output)\n\n    # 1 seconds\n    # 2 seconds\n    # 3 seconds\n    # 4 seconds\n    # 5 seconds\n\naif (Anaphoric macro)\n~~~~~~~~~~~~~~~~~~~~~\n\n.. code:: python\n\n    macro aif(test, true_expr, false_expr):\n        quasi_quote:\n            it = unquote(test)\n            if it:\n                unquote(true_expr)\n            else:\n                unquote(false_expr)\n\n    aif([], first(it), \"empty\")\n    # => \"empty\"\n    aif([10, 20], first(it), \"empty\")\n    # => 10\n\nRequirements\n------------\n\n-  CPython >= 3.2 or PyPy >= 3.2.1\n-  rply >= 0.7.2\n-  pyrsistent >= 0.10.1\n-  pathlib >= 1.0.1\n-  eventlet >= 0.17.1\n-  msgpack-python >= 0.4.6\n-  typeannotations >= 0.1.0\n\nInstallation\n------------\n\n.. code:: sh\n\n    $ pip3 install mochi\n    $ pip3 install flask Flask-RESTful Pillow RxPY  # to run the examples\n\n\nOptional Installation\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n\n.. code:: sh\n\n    $ pip3 install flask Flask-RESTful Pillow RxPY  # to run the examples\n    $ pip3 install pyzmq # to use ZmqInbox and ZmqOutbox\n    $ pip3 install kombu # to use KombuMailbox\n    $ pip3 install boto # to use SQS as transport of KombuMailbox\n    $ pip3 install boto3 # to use SQSMailbox\n\nTh error of the following may occur when you run Mochi on PyPy.\n\n..\n\n    ImportError: Importing zmq.backend.cffi failed with version mismatch, 0.8.2 != 0.9.2\n\nIn this case, please change the version of cffi to 0.8.2 using pip on PyPy.\n\n.. code:: sh\n\n    $ pip3 uninstall cffi\n    $ pip3 install cffi==0.8.2\n\nUsage\n-----\n\nREPL\n~~~~\n\n.. code:: sh\n\n    $ mochi\n    >>>\n\nloading and running a file\n~~~~~~~~~~~~~~~~~~~~~~~~~~\n\n.. code:: sh\n\n    $ cat kinako.mochi\n    print('kinako')\n    $ mochi kinako.mochi\n    kinako\n    $ mochi -no-mp kinako.mochi  # not apply eventlet's monkey patching\n    kinako\n\nbyte compilation\n~~~~~~~~~~~~~~~~\n\n.. code:: sh\n\n    $ mochi -c kinako.mochi > kinako.mochic\n\nrunning a byte-compiled file\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n\n.. code:: sh\n\n    $ mochi -e kinako.mochic\n    kinako\n    $ mochi -e -no-mp kinako.mochic  # not apply eventlet's monkey patching\n    kinako\n\ngenerating .pyc\n~~~~~~~~~~~~~~~\n\n.. code:: sh\n\n    $ ls\n    kagami.mochi\n    $ cat kagami.mochi\n    print('kagami')\n    $ mochi\n    >>> import kagami\n    kagami\n    >>> exit()\n    $ ls\n    kagami.mochi kagami.pyc\n    $ python3 kagami.pyc\n    kagami\n\nOr\n\n.. code:: sh\n\n    $ mochi -pyc kagami.mochi > kagami.pyc\n    $ python3 kagami.pyc\n    kagami\n    $ mochi -pyc -no-mp kagami.mochi > kagami.pyc  # not apply eventlet's monkey patching\n    $ python3 kagami.pyc\n    kagami\n\nExamples for each feature\n-------------------------\n\nPersistent data structures\n~~~~~~~~~~~~~~~~~~~~~~~~~~\n\n.. code:: python\n\n    [1, 2, 3]\n    # => pvector([1, 2, 3])\n\n    v(1, 2, 3)\n    # => pvector([1, 2, 3])\n\n    vec = [1, 2, 3]\n    vec2 = vec.set(0, 8)\n    # => pvector([8, 2, 3]\n    vec\n    # => pvector([1, 2, 3])\n    [x, y, z] = vec\n    x # => 1\n    y # => 2\n    z # => 3\n\n    get(vec, 0) # => 1\n    get(vec, 0, 2) # => [1, 2]\n\n    vec[0] # => 1\n    vec[0:2] # => [1, 2]\n\n    {'x': 100, 'y': 200}\n    # => pmap({'y': 200, 'x': 100})\n\n    ma = {'x': 100, 'y': 200}\n    ma.get('x') # => 100\n    ma.x # => 100\n    ma['x'] # => 100\n    ma2 = ma.set('x', 10000)\n    # => pmap({'y': 200, 'x': 10000})\n    ma # => pmap({'y': 200, 'x': 100})\n    get(ma, 'y') # => 200\n    ma['y'] # => 200\n\n    m(x=100, y=200)\n    # => pmap({'y': 200, 'x': 100})\n\n    s(1, 2, 3)\n    # => pset([1, 2, 3])\n\n    b(1, 2, 3)\n    # => pbag([1, 2, 3])\n\nFunction definitions\n~~~~~~~~~~~~~~~~~~~~\n\n.. code:: python\n\n    def hoge(x):\n        'hoge' + str(x)\n\n    hoge(3)\n    # => hoge3\n\nPattern matching\n~~~~~~~~~~~~~~~~\n\n.. code:: python\n\n    lis = [1, 2, 3]\n\n    # Sequence pattern\n    match lis:\n        [1, 2, x]: x\n        _: None\n    # => 3\n\n    match lis:\n        [1, &rest]: rest\n        _: None\n\n    # => pvector([2, 3])\n\n\n    foo_map = {'foo' : 'bar'}\n\n    # Mapping pattern\n    match foo_map:\n        {'foo' : value}: value\n        _: None\n    # => 'bar'\n\n\n    # Type pattern\n    # <name of variable refers to type> <pattern>: <action>\n    match 10:\n        int x: 'int'\n        float x: 'float'\n        str x: 'str'\n        bool x: 'bool'\n        _: 'other'\n    # => 'int'\n\n    match [1, 2, 3]:\n        [1, str x, 3]: 'str'\n        [1, int x, 3]: 'int'\n        _: 'other'\n    # => 'int'\n\n    num = union(int, float)\n    vector nums[num]\n    vector strs[str]\n\n    match nums([1, 2, 3]):\n        nums[x, y, z]: z\n        strs[x, y, z]: x\n    # => 3\n\n    Positive = predicate(-> $1 > 0)\n    Even = predicate(-> $1 % 2 == 0)\n    EvenAndPositive = predicate(-> ($1 % 2 == 0) and ($1 >= 0)) \n\n    match 10:\n        EvenAndPositive n: str(n) + ':Even and Positive'\n        Even n: str(n) + ':Even'\n        Positive n: str(n) + ':Positive'\n\n    # => 10:Even and Positive\n\n\n    # Or pattern\n    match ['foo', 100]:\n        ['foo' or 'bar', value]: value\n        _: 10000\n    # => 100\n\n    match ['foo', 100]:\n        [str x or int x, value]: value\n        _: 10000\n    # => 100\n\n\n    # Record pattern\n    record Person(name, age)\n\n    foo = Person('foo', 32)\n\n    match foo:\n        Person('bar', age):\n            'bar:' + str(age)\n        Person('foo', age):\n            'foo:' + str(age)\n        _: None\n    # => 'foo:32'\n\nRecords\n~~~~~~~\n\n.. code:: python\n\n    record Mochi\n    record AnkoMochi(anko) < Mochi\n    record KinakoMochi(kinako) < Mochi\n\n    anko_mochi = AnkoMochi(anko=3)\n\n    isinstance(anko_mochi, Mochi)\n    # => True\n    isinstance(anko_mochi, AnkoMochi)\n    # => True\n    isinstance(anko_mochi, KinakoMochi)\n    # => False\n\n    match anko_mochi:\n        KinakoMochi(kinako): 'kinako ' * kinako + ' mochi'\n        AnkoMochi(anko): 'anko ' * anko + 'mochi'\n        Mochi(_): 'mochi'\n    # => 'anko anko anko mochi'\n\n\n    record Person(name, age):\n        def show(self):\n            print(self.name + ': ' + self.age)\n\n    foo = Person('foo', '32')\n    foo.show()\n    # -> foo: 32\n\n    # runtime type checking\n    record Point(x:int, y:int, z:optional(int))\n    Point(1, 2, None)\n    # => Point(x=1, y=2, z=None)\n    Point(1, 2, 3)\n    # => Point(x=1, y=2, z=3)\n    Point(1, None, 3)\n    # => TypeError\n\nBindings\n~~~~~~~~\n\n.. code:: python\n\n    x = 3000\n    # => 3000\n\n    [a, b] = [1, 2]\n    a\n    # => 1\n    b\n    # => 2\n\n    [c, &d] = [1, 2, 3]\n    c\n    # => 1\n    d\n    # => pvector([2, 3])\n\nData types, like algebraic data types\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n\n.. code:: python\n\n    data Point:\n        Point2D(x, y)\n        Point3D(x, y, z)\n\n    # The meaning of the above is the same as the meaning of the following.\n    # record Point\n    # record Point2D(x, y) < Point\n    # record Point3D(x, y, z) < Point\n\n    p1 = Point2D(x=1, y=2)\n    # => Point2D(x=1, y=2)\n\n    p2 = Point2D(3, 4)\n    # => Point2D(x=3, y=4)\n\n    p1.x\n    # => 1\n\nPattern-matching function definitions\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n\n.. code:: python\n\n    data Point:\n        Point2D(x, y)\n        Point3D(x, y, z)\n\n    def offset:\n        Point2D(x1, y1), Point2D(x2, y2):\n            Point2D(x1 + x2, y1 + y2)\n        Point3D(x1, y1, z1), Point3D(x2, y2, z2):\n            Point3D(x1 + x2, y1 + y2, z1 + z2)\n        _: None\n\n    offset(Point2D(1, 2), Point2D(3, 4))\n    # => Point2D(x=4, y=6)\n    offset(Point3D(1, 2, 3), Point3D(4, 5, 6))\n    # => Point3D(x=5, y=7, z=9)\n\n    def show:\n        int x, message: print('int', x, message)\n        float x, message: print('float', x, message)\n        _: None\n\n    show(1.0, 'msg')\n    # -> float 1.0 msg\n    # => None\n\n    FileMode = options('r', 'w', 'a', 'r+', 'w+', 'a+')\n\n    def open_file:\n        str path, FileMode mode: \n            open(path, mode)\n        str path:\n            open(path, 'r')\n\nAnonymous function\n~~~~~~~~~~~~~~~~~~\n\n.. code:: python\n\n    # Arrow expression.\n    add = (x, y) -> x + y\n    add(1, 2)\n    # => 3\n\n    add = -> $1 + $2\n    add(1, 2)\n    # => 3\n\n    foo = (x, y) ->\n        if x == 0:\n            y\n        else:\n            x\n\n    foo(1, 2)\n    # => 1\n\n    foo(0, 2)\n    # => 2\n\n    pvector(map(-> $1 * 2, [1, 2, 3]))\n    # => pvector([2, 4, 6])\n\nPipeline operator\n~~~~~~~~~~~~~~~~~\n\n.. code:: python\n\n    add = -> $1 + $2\n    2 |> add(10) |> add(12)\n    # => 24\n    None |>? add(10) |>? add(12)\n    # => None\n\nLazy sequences\n~~~~~~~~~~~~~~\n\n.. code:: python\n\n    def fizzbuzz(n):\n        match [n % 3, n % 5]:\n            [0, 0]: \"fizzbuzz\"\n            [0, _]: \"fizz\"\n            [_, 0]: \"buzz\"\n            _: n\n\n\n    result = range(1, 31) |> map(fizzbuzz)\n    pvector(result)\n    # => pvector([1, 2, fizz, 4, 'buzz', 'fizz', 7, 8, 'fizz', 'buzz', 11, 'fizz', 13, 14, 'fizzbuzz', 16, 17, 'fizz', 19, 'buzz', 'fizz', 22, 23, 'fizz', 'buzz', 26, 'fizz', 28, 29, 'fizzbuzz'])\n    pvector(result)\n    # => pvector([])\n    pvector(result)\n    # => pvector([])\n\n\n    # Iterator -> lazyseq\n    lazy_result = range(1, 31) |> map(fizzbuzz) |> lazyseq()\n    pvector(lazy_result)\n    # => pvector([1, 2, fizz, 4, 'buzz', 'fizz', 7, 8, 'fizz', 'buzz', 11, 'fizz', 13, 14, 'fizzbuzz', 16, 17, 'fizz', 19, 'buzz', 'fizz', 22, 23, 'fizz', 'buzz', 26, 'fizz', 28, 29, 'fizzbuzz'])\n    pvector(lazy_result)\n    # => pvector([1, 2, fizz, 4, 'buzz', 'fizz', 7, 8, 'fizz', 'buzz', 11, 'fizz', 13, 14, 'fizzbuzz', 16, 17, 'fizz', 19, 'buzz', 'fizz', 22, 23, 'fizz', 'buzz', 26, 'fizz', 28, 29, 'fizzbuzz'])\n    pvector(lazy_result)\n    # => pvector([1, 2, fizz, 4, 'buzz', 'fizz', 7, 8, 'fizz', 'buzz', 11, 'fizz', 13, 14, 'fizzbuzz', 16, 17, 'fizz', 19, 'buzz', 'fizz', 22, 23, 'fizz', 'buzz', 26, 'fizz', 28, 29, 'fizzbuzz'])\n\nTrailing closures\n~~~~~~~~~~~~~~~~~\n\n.. code:: python\n\n    # The following trailing closure expression is passed to a function as the function\u2019s first argument.\n    result = map([1, 2, 3]) ->\n        print($1)\n        $1 * 2\n\n    print(doall(result))\n\n    # -> 1\n    # -> 2\n    # -> 3\n    # => pvector([2, 4, 6])\n\n\n    def foreach(closure, seq):\n        doall(filter(closure, seq))\n\n    # The following trailing closure expression is passed to a function as the function\u2019s first argument.\n    foreach([1, 2, 3]) (item) ->\n        new_item = item * 100\n        print(new_item)\n\n    # -> 100\n    # -> 200\n    # -> 300\n    # => pvector([])\n\n    # Or\n\n    def foreach(seq, closure):\n        doall(filter(closure, seq))\n\n    # The following trailing closure expression is passed to a function as the function\u2019s final argument.\n    foreach([1, 2, 3]) @ (item) ->\n        new_item = item * 100\n        print(new_item)\n\n    # -> 100\n    # -> 200\n    # -> 300\n    # => pvector([])\n\nShort form for keyword arguments and dict keys\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n\n.. code:: python\n\n    def foo(a, b, c):\n        a + b + c\n        \n    a = 1\n    b = 2\n    c = 3\n\n    # This is the same as foo(a=a, b=b, c=c)\n    foo(=a, =b, =c))\n    # => 6\n\n    # This is the same as {'a': a, 'b': b}\n    {=a, =b}\n    # => pmap({'a': 1, 'b': 2})\n\nMacros\n~~~~~~\n\n.. code:: python\n\n    macro rest_if_first_is_true(first, &args):\n         match first:\n             quote(True): quasi_quote(v(unquote_splicing(args)))\n             _: quote(False)\n\n    rest_if_first_is_true(True, 1, 2, 3)\n    # => pvector([1, 2, 3])\n    rest_if_first_is_true(\"foo\", 1, 2, 3)\n    # => False\n\n    macro pipeline(&args):\n        [Symbol('|>')] + args\n\n    pipeline([1, 2, 3],\n             map(-> $1 * 2),\n             filter(-> $1 != 2),\n             pvector())\n    # => pvector([4, 6])\n\nIncluding a file at compile time\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n\n.. code:: sh\n\n    $ cat anko.mochi\n    x = 10000\n    y = 20000\n\n.. code:: python\n\n    require 'anko.mochi'\n    x\n    # => 10000\n\n    x = 30000\n\n    require 'anko.mochi' # include once at compile time\n    x\n    # => 30000\n\nModule\n~~~~~~\n\n.. code:: python\n\n    module Math:\n        export add, sub\n        \n        def add(x, y):\n            x + y\n        \n        def sub(x, y):\n            x - y\n\n    Math.add(1, 2)\n    # => 3\n\n.. code:: sh\n\n    $ cat foobar.mochi\n    foo = 'foo'\n    bar = 'bar'\n\n.. code:: python\n\n    require 'foobar.mochi'\n    [foo, bar]\n    # => pvector(['foo', 'bar'])\n\n    foo = 'foofoofoo'\n\n    module X:\n        export foobar\n        require 'foobar.mochi'\n        def foobar:\n            [foo, bar]\n\n    X.foobar()\n    # => pvector(['foo', 'bar'])\n\n    [foo, bar]\n    # => pvector(['foofoofoo', 'bar'])\n\nTODO\n----\n\n-  Improve documentation\n-  Improve parsing\n-  Support type annotation\n\nLicense\n-------\n\nMIT License\n\nContributors\n------------\n\nhttps://github.com/i2y/mochi/graphs/contributors",
        "description_content_type": null,
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        "home_page": "https://github.com/i2y/mochi",
        "keywords": null,
        "license": "MIT License",
        "maintainer": null,
        "maintainer_email": null,
        "name": "mochi",
        "package_url": "https://pypi.org/project/mochi/",
        "platform": "any",
        "project_url": "https://pypi.org/project/mochi/",
        "project_urls": {
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            "Homepage": "https://github.com/i2y/mochi"
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        "release_url": "https://pypi.org/project/mochi/0.2.7/",
        "requires_dist": null,
        "requires_python": null,
        "summary": "Dynamically typed functional programming language",
        "version": "0.2.7"
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