This repository is a playground where I play with interpreters using RPython.
Currently, this is some kind of lisp interpreter. The JIT is not fully implemented.
I'm experimenting with some stupid frameless bytecode interpreter. The idea here is to compile everything into a single bytecode string, and interpret everything in a single loop, without using python's recursion when a function call is encountered (in difference with rpython's example interpreter).
Since we won't recurse in our python code, we don't allocate a new frame.
So... at the moment, there is not things like "scopes". It seems easily to implement, using python recursion.
def execute(frame, bc):
[...]
while True:
[...]
elif c == bytecode.CALL:
# function call
# implementation here
new_frame = create_frame()
# I'm willing to avoid recursion here
r = execute(new_frame, bc)
[...]
You'll need the RPython toolchain.
Pipe your code to targetnolst-c after rpython's compilation
-
It don't check your code, won't look for missing/to many arguments when calling a function. Most of the time, the runtime will crash. But sometimes, when the stack is cooperative, you'll get very strange behaviors
-
functions does not really return, sometimes. It's currently unclear for me why it seems to work most of the time, but not when I nest calls. I think I have to debug some S-Expression bytecode's generation.
A function return value should be bound to a variable to allow its usage. If not, it will crash when unpacking function's arguments from the stack.
-
local variables are leaking. Did I say "scope"? There is no scope! Wait... did I say local variables? EVERYONE'S SCOPE IS EVERYONE'S SCOPE!
-
a deep recursion fastly blows memory.
It's obvious that I can't do better than BEAM or the JVM alone, with my poor knowledge on the subject. I'm essentially doing this for learning - I'm a Python developer focused on code's performance. I was impressed by the Pypy project, and was willing to learn / understand what's going on in a bytecode interpreter. Using RPython's toolchain allows me to do that with the language I'm the most confortable with. It is also a gain of speed, since it provides lot of libraries to implement a language from scratch - from EBNF parsing to JIT hints.
May include regressions. A lot!
(def r 1234)
(print r)
(print (add r 1212))
(def inc
(lambda (x)
(add x 1)))
(print (inc 123))
(def result 12345)
(def myfunc2q
(lambda ()
(do
(def mysubfunc
(lambda (x)
(do
(print 666)
(print x))))
(mysubfunc result))))
(myfunc2q)
(def inc
(lambda (x)
(add x 1)))
(def recfunc
(lambda (x)
(do
(print x)
(if (< x 10)
(do
(def nx (inc x))
(recfunc nx))))))
(recfunc 0)