Dynamically typed functional programming language
Project description
Mochi is a dynamically typed programming language for functional programming and actor-style programming.
Its interpreter is written in Python3. The interpreter translates a program written in Mochi to Python3’s AST / bytecode.
Features
Python-like syntax
Tail recursion optimization (self tail recursion only), and no loop syntax
Re-assignments are not allowed in function definition.
Basic collection type is a persistent data structure. (using Pyrsistent)
Pattern matching / Data types, like algebraic data types
Pipeline operator
Syntax sugar of anonymous function definition
Actor, like the actor of Erlang (using Eventlet)
Macro, like the traditional macro of Lisp
Builtin functions includes functions exported by itertools module, recipes, functools module and operator module
Examples
Factorial
def factorial(n, m):
if n == 1:
m
else:
factorial(n - 1, n * m)
factorial(10000, 1)
# => 28462596809170545189064132121198688...
# Or
def factorial:
n: factorial(n, 1)
0, acc: acc
n, acc: factorial(n - 1, acc * n)
factorial(10000)
# => 28462596809170545189064132121198688...
FizzBuzz
def fizzbuzz(n):
match [n % 3, n % 5]:
[0, 0]: "fizzbuzz"
[0, _]: "fizz"
[_, 0]: "buzz"
_: n
range(1, 31)
|> map(fizzbuzz)
|> pvector()
|> print()
Actor
def show():
receive:
message:
print(message)
show()
actor = spawn(show)
send('foo', actor)
actor ! 'bar' # send('bar', actor)
sleep(1)
# -> foo
# -> bar
'foo' !> spawn(show)
sleep(1)
# -> foo
['foo', 'bar'] !&> spawn(show)
# The meaning of the above is the same as the meaning of the following.
# spawn(show) ! 'foo'
# spawn(show) ! 'bar'
sleep(1)
# -> foo
# -> bar
def show_loop():
receive:
[tag, value]:
print(tag, value)
show_loop()
actor2 = spawn(show_loop)
actor2 ! ["bar", 2000]
sleep(1)
# -> bar 2000
['foo', 1000] !> spawn(show_loop)
sleep(1)
# -> foo 1000
[['foo', 1000],['bar', 2000]] !&> spawn(show_loop)
sleep(1)
# -> foo 1000
# -> bar 2000
Distributed Computing
# comsumer.mochi
from mochi.actor.mailbox import KombuMailbox, ZmqInbox, SQSMailbox
def consumer():
receive:
'exit':
print('exit!')
other:
print(other)
consumer()
kombu_mailbox = KombuMailbox('sqs://<access_key_id>@<secret_access_key>:80//',
'<queue_name>',
dict(region='<region>'))
spawn_with_mailbox(consumer, kombu_mailbox)
zmq_mailbox = ZmqInbox('tcp://*:9999')
spawn_with_mailbox(consumer, zmq_mailbox)
sqs_mailbox = SQSMailbox('<queue_name>')
spawn_with_mailbox(consumer, sqs_mailbox)
wait_all()
# producer.mochi
from mochi.actor.mailbox import KombuMailbox, ZmqOutbox, SQSMailbox
kombu_mailbox = KombuMailbox('sqs://<access_key_id>@<secret_access_key>:80//',
'<queue_name>',
dict(region='<region>'))
kombu_mailbox ! [1, 2, 3]
kombu_mailbox ! 'exit'
zmq_mailbox = ZmqOutbox('tcp://localhost:9999')
zmq_mailbox ! [4, 5, 6]
zmq_mailbox ! 'exit'
sqs_mailbox = SQSMailbox('<queue_name>')
sqs_mailbox ! [7, 8, 9]
sqs_mailbox ! 'exit'
Flask
from flask import Flask
app = Flask('demo')
@app.route('/')
def hello():
'Hello World!'
app.run()
RxPY
# usage: mochi -no-mp timer.mochi
# original:
# https://github.com/ReactiveX/RxPY/blob/master/examples/parallel/timer.py
import rx
import concurrent.futures
import time
seconds = [5, 1, 2, 4, 3]
def sleep(t):
time.sleep(t)
return t
def output(result):
print('%d seconds' % result)
with concurrent.futures.ProcessPoolExecutor(5) as executor:
rx.Observable.from_(seconds)
.flat_map((s) -> executor.submit(sleep, s))
.subscribe(output)
# 1 seconds
# 2 seconds
# 3 seconds
# 4 seconds
# 5 seconds
aif (Anaphoric macro)
macro aif(test, true_expr, false_expr):
quasi_quote:
it = unquote(test)
if it:
unquote(true_expr)
else:
unquote(false_expr)
aif([], first(it), "empty")
# => "empty"
aif([10, 20], first(it), "empty")
# => 10
Requirements
CPython >= 3.2 or PyPy >= 3.2.1
rply >= 0.7.2
pyrsistent >= 0.10.1
pathlib >= 1.0.1
eventlet >= 0.17.1
msgpack-python >= 0.4.6
typeannotations >= 0.1.0
Installation
$ pip3 install mochi
$ pip3 install flask Flask-RESTful Pillow RxPY # to run the examples
Optional Installation
$ pip3 install flask Flask-RESTful Pillow RxPY # to run the examples
$ pip3 install pyzmq # to use ZmqInbox and ZmqOutbox
$ pip3 install kombu # to use KombuMailbox
$ pip3 install boto # to use SQS as transport of KombuMailbox
$ pip3 install boto3 # to use SQSMailbox
Th error of the following may occur when you run Mochi on PyPy.
ImportError: Importing zmq.backend.cffi failed with version mismatch, 0.8.2 != 0.9.2
In this case, please change the version of cffi to 0.8.2 using pip on PyPy.
$ pip3 uninstall cffi
$ pip3 install cffi==0.8.2
Usage
REPL
$ mochi
>>>
loading and running a file
$ cat kinako.mochi
print('kinako')
$ mochi kinako.mochi
kinako
$ mochi -no-mp kinako.mochi # not apply eventlet's monkey patching
kinako
byte compilation
$ mochi -c kinako.mochi > kinako.mochic
running a byte-compiled file
$ mochi -e kinako.mochic
kinako
$ mochi -e -no-mp kinako.mochic # not apply eventlet's monkey patching
kinako
generating .pyc
$ ls
kagami.mochi
$ cat kagami.mochi
print('kagami')
$ mochi
>>> import kagami
kagami
>>> exit()
$ ls
kagami.mochi kagami.pyc
$ python3 kagami.pyc
kagami
Or
$ mochi -pyc kagami.mochi > kagami.pyc
$ python3 kagami.pyc
kagami
$ mochi -pyc -no-mp kagami.mochi > kagami.pyc # not apply eventlet's monkey patching
$ python3 kagami.pyc
kagami
Examples for each feature
Persistent data structures
[1, 2, 3]
# => pvector([1, 2, 3])
v(1, 2, 3)
# => pvector([1, 2, 3])
vec = [1, 2, 3]
vec2 = vec.set(0, 8)
# => pvector([8, 2, 3]
vec
# => pvector([1, 2, 3])
[x, y, z] = vec
x # => 1
y # => 2
z # => 3
get(vec, 0) # => 1
get(vec, 0, 2) # => [1, 2]
vec[0] # => 1
vec[0:2] # => [1, 2]
{'x': 100, 'y': 200}
# => pmap({'y': 200, 'x': 100})
ma = {'x': 100, 'y': 200}
ma.get('x') # => 100
ma.x # => 100
ma['x'] # => 100
ma2 = ma.set('x', 10000)
# => pmap({'y': 200, 'x': 10000})
ma # => pmap({'y': 200, 'x': 100})
get(ma, 'y') # => 200
ma['y'] # => 200
m(x=100, y=200)
# => pmap({'y': 200, 'x': 100})
s(1, 2, 3)
# => pset([1, 2, 3])
b(1, 2, 3)
# => pbag([1, 2, 3])
Function definitions
def hoge(x):
'hoge' + str(x)
hoge(3)
# => hoge3
Pattern matching
lis = [1, 2, 3]
# Sequence pattern
match lis:
[1, 2, x]: x
_: None
# => 3
match lis:
[1, &rest]: rest
_: None
# => pvector([2, 3])
foo_map = {'foo' : 'bar'}
# Mapping pattern
match foo_map:
{'foo' : value}: value
_: None
# => 'bar'
# Type pattern
# <name of variable refers to type> <pattern>: <action>
match 10:
int x: 'int'
float x: 'float'
str x: 'str'
bool x: 'bool'
_: 'other'
# => 'int'
match [1, 2, 3]:
[1, str x, 3]: 'str'
[1, int x, 3]: 'int'
_: 'other'
# => 'int'
num = union(int, float)
vector nums[num]
vector strs[str]
match nums([1, 2, 3]):
nums[x, y, z]: z
strs[x, y, z]: x
# => 3
Positive = predicate(-> $1 > 0)
Even = predicate(-> $1 % 2 == 0)
EvenAndPositive = predicate(-> ($1 % 2 == 0) and ($1 >= 0))
match 10:
EvenAndPositive n: str(n) + ':Even and Positive'
Even n: str(n) + ':Even'
Positive n: str(n) + ':Positive'
# => 10:Even and Positive
# Or pattern
match ['foo', 100]:
['foo' or 'bar', value]: value
_: 10000
# => 100
match ['foo', 100]:
[str x or int x, value]: value
_: 10000
# => 100
# Record pattern
record Person(name, age)
foo = Person('foo', 32)
match foo:
Person('bar', age):
'bar:' + str(age)
Person('foo', age):
'foo:' + str(age)
_: None
# => 'foo:32'
Records
record Mochi
record AnkoMochi(anko) < Mochi
record KinakoMochi(kinako) < Mochi
anko_mochi = AnkoMochi(anko=3)
isinstance(anko_mochi, Mochi)
# => True
isinstance(anko_mochi, AnkoMochi)
# => True
isinstance(anko_mochi, KinakoMochi)
# => False
match anko_mochi:
KinakoMochi(kinako): 'kinako ' * kinako + ' mochi'
AnkoMochi(anko): 'anko ' * anko + 'mochi'
Mochi(_): 'mochi'
# => 'anko anko anko mochi'
record Person(name, age):
def show(self):
print(self.name + ': ' + self.age)
foo = Person('foo', '32')
foo.show()
# -> foo: 32
# runtime type checking
record Point(x:int, y:int, z:optional(int))
Point(1, 2, None)
# => Point(x=1, y=2, z=None)
Point(1, 2, 3)
# => Point(x=1, y=2, z=3)
Point(1, None, 3)
# => TypeError
Bindings
x = 3000
# => 3000
[a, b] = [1, 2]
a
# => 1
b
# => 2
[c, &d] = [1, 2, 3]
c
# => 1
d
# => pvector([2, 3])
Data types, like algebraic data types
data Point:
Point2D(x, y)
Point3D(x, y, z)
# The meaning of the above is the same as the meaning of the following.
# record Point
# record Point2D(x, y) < Point
# record Point3D(x, y, z) < Point
p1 = Point2D(x=1, y=2)
# => Point2D(x=1, y=2)
p2 = Point2D(3, 4)
# => Point2D(x=3, y=4)
p1.x
# => 1
Pattern-matching function definitions
data Point:
Point2D(x, y)
Point3D(x, y, z)
def offset:
Point2D(x1, y1), Point2D(x2, y2):
Point2D(x1 + x2, y1 + y2)
Point3D(x1, y1, z1), Point3D(x2, y2, z2):
Point3D(x1 + x2, y1 + y2, z1 + z2)
_: None
offset(Point2D(1, 2), Point2D(3, 4))
# => Point2D(x=4, y=6)
offset(Point3D(1, 2, 3), Point3D(4, 5, 6))
# => Point3D(x=5, y=7, z=9)
def show:
int x, message: print('int', x, message)
float x, message: print('float', x, message)
_: None
show(1.0, 'msg')
# -> float 1.0 msg
# => None
FileMode = options('r', 'w', 'a', 'r+', 'w+', 'a+')
def open_file:
str path, FileMode mode:
open(path, mode)
str path:
open(path, 'r')
Anonymous function
# Arrow expression.
add = (x, y) -> x + y
add(1, 2)
# => 3
add = -> $1 + $2
add(1, 2)
# => 3
foo = (x, y) ->
if x == 0:
y
else:
x
foo(1, 2)
# => 1
foo(0, 2)
# => 2
pvector(map(-> $1 * 2, [1, 2, 3]))
# => pvector([2, 4, 6])
Pipeline operator
add = -> $1 + $2
2 |> add(10) |> add(12)
# => 24
None |>? add(10) |>? add(12)
# => None
Lazy sequences
def fizzbuzz(n):
match [n % 3, n % 5]:
[0, 0]: "fizzbuzz"
[0, _]: "fizz"
[_, 0]: "buzz"
_: n
result = range(1, 31) |> map(fizzbuzz)
pvector(result)
# => 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'])
pvector(result)
# => pvector([])
pvector(result)
# => pvector([])
# Iterator -> lazyseq
lazy_result = range(1, 31) |> map(fizzbuzz) |> lazyseq()
pvector(lazy_result)
# => 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'])
pvector(lazy_result)
# => 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'])
pvector(lazy_result)
# => 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'])
Trailing closures
# The following trailing closure expression is passed to a function as the function’s first argument.
result = map([1, 2, 3]) ->
print($1)
$1 * 2
print(doall(result))
# -> 1
# -> 2
# -> 3
# => pvector([2, 4, 6])
def foreach(closure, seq):
doall(filter(closure, seq))
# The following trailing closure expression is passed to a function as the function’s first argument.
foreach([1, 2, 3]) (item) ->
new_item = item * 100
print(new_item)
# -> 100
# -> 200
# -> 300
# => pvector([])
# Or
def foreach(seq, closure):
doall(filter(closure, seq))
# The following trailing closure expression is passed to a function as the function’s final argument.
foreach([1, 2, 3]) @ (item) ->
new_item = item * 100
print(new_item)
# -> 100
# -> 200
# -> 300
# => pvector([])
Short form for keyword arguments and dict keys
def foo(a, b, c):
a + b + c
a = 1
b = 2
c = 3
# This is the same as foo(a=a, b=b, c=c)
foo(=a, =b, =c))
# => 6
# This is the same as {'a': a, 'b': b}
{=a, =b}
# => pmap({'a': 1, 'b': 2})
Macros
macro rest_if_first_is_true(first, &args):
match first:
quote(True): quasi_quote(v(unquote_splicing(args)))
_: quote(False)
rest_if_first_is_true(True, 1, 2, 3)
# => pvector([1, 2, 3])
rest_if_first_is_true("foo", 1, 2, 3)
# => False
macro pipeline(&args):
[Symbol('|>')] + args
pipeline([1, 2, 3],
map(-> $1 * 2),
filter(-> $1 != 2),
pvector())
# => pvector([4, 6])
Including a file at compile time
$ cat anko.mochi
x = 10000
y = 20000
require 'anko.mochi'
x
# => 10000
x = 30000
require 'anko.mochi' # include once at compile time
x
# => 30000
Module
module Math:
export add, sub
def add(x, y):
x + y
def sub(x, y):
x - y
Math.add(1, 2)
# => 3
$ cat foobar.mochi
foo = 'foo'
bar = 'bar'
require 'foobar.mochi'
[foo, bar]
# => pvector(['foo', 'bar'])
foo = 'foofoofoo'
module X:
export foobar
require 'foobar.mochi'
def foobar:
[foo, bar]
X.foobar()
# => pvector(['foo', 'bar'])
[foo, bar]
# => pvector(['foofoofoo', 'bar'])
TODO
Improve documentation
Improve parsing
Support type annotation
License
MIT License
Contributors
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
File details
Details for the file mochi-0.2.7.tar.gz
.
File metadata
- Download URL: mochi-0.2.7.tar.gz
- Upload date:
- Size: 46.8 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 7fbdea9bef7734527163c7543cf3b89a809aac7cda5010be59c148eb6c23b580 |
|
MD5 | 1eff412d6846b5bd3d8fd30ad189c94b |
|
BLAKE2b-256 | 0bf2cb667b970bd38ec25639297840cfc4680c68c82593c75a9c6f0a4fbf300e |