pydialect 0.1.1

Description:

pydialect 0.1.1

Pydialect makes Python into a language platform, à la Racket. It provides the
plumbing that allows to create, in Python, dialects that compile into Python
at import time.
An extension to the Python language doesn’t need to make it into the Python core,
or even be desirable for inclusion into the Python core, in order to be useful.
Building on functions and syntactic macros, customization of the language itself
is one more tool for the programmer to extract patterns, at a higher level.
Hence, beside language experimentation, such extensions can be used as a
framework that allows shorter and/or more readable programs.
Pydialect places language-creation power in the hands of its users, without the
need to go to extreme lengths to hack CPython itself or implement from scratch
a custom language that compiles to Python AST or bytecode.
Pydialect is geared toward creating languages that extend Python and look
almost like Python, but extend or modify its syntax and/or semantics.
Hence dialects.
That said, Pydialect itself is only a lightweight infrastructure hook that makes
it convenient to define and use dialects. To implement the actual semantics
for your dialect (which is where all the interesting things happen), you may
want to look at [MacroPy](https://github.com/azazel75/macropy). Examples can be
found in [unpythonic](https://github.com/Technologicat/unpythonic); see especially
the macros (comprising about one half of unpythonic). On packaging a set of
semantics into a Pydialect definition, look at the example dialects included
in the Pydialect distribution.
Example of a module using a dialect:
from __lang__ import lispython

print("hello, my dialect is {}".format(__lang__))

c = cons(1, 2)
assert tuple(c) == (1, 2)
assert car(c) == 1
assert cdr(c) == 2
assert ll(1, 2, 3) == llist((1, 2, 3))

x = let[(a, 21) in 2*a]
assert x == 42

x = letseq[((a, 1),
(a, 2*a),
(a, 2*a)) in
a]
assert x == 4

a = lambda x: cond[x < 0, "nope",
x % 2 == 0, "even",
"odd"]
assert a(-1) == "nope"
assert a(2) == "even"
assert a(3) == "odd"

def fact(n):
def f(k, acc):
if k == 1:
return acc
f(k - 1, k*acc) # implicit return in tail position, like in Lisps
f(n, acc=1)
assert fact(4) == 24
fact(5000) # automatic TCO, no crash

square = lambda x: x**2
assert square(3) == 9
assert square.__name__ == "square" # lambdas are auto-named