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A Scheme implementation in Python
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examples
skime
tests
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Makefile
README
skime.py

README

h1. What skime is.

skime is a Scheme implementation written in Python.

h2. Overview.

skime consists of 2 major parts: one produces bytecode and
other executes it. First on is obviously a classic combo of lexer,
parser and compiler, and the second one is virtual machine with
it's own small instruction set.

Skime produces bytecode on-the-fly, when Scheme source code is
evaluated. Parser and compiler both act as aggregated components
for a VM.

h2. Lexical scopes and variable tables.

Scheme source code consists of multiple nested lexical scopes.
Each lexical scope is represented with an instance of
Environment class. Environment is connected with
a parent lexical scope in the code and stores local
variables of it's scope. Names and
values of local variables are stored separately in
arrays and addressed by indexes. Environment maps
variable index to variable name so it's always possible
to get a value of a variable by name.

Environment handles access to variables: assignments,
reading, allocation. Allocation simply means creating a
slot for a variable with initial value of undefined.

Undefined represented in Python code with instances of
Undef class.

To get location of a variable Location instances are
used. Location stores environment and index in variables
table. Location objects are comparable.

Since variables from the outer scope are available to
inner scope, Environment is capable of looking up
location recursively towards root scope.

h2. Execution context.

For function execution Skime uses an abstraction
called Context that ties a form (result of compiling
an expression into bytecode), an environment
and a parent context. Each context has a stack
and instruction pointer (ip). Context provides
an interface for stack operation: pushing, popping,
popping many, inserting many, getting value from
the top of the stack and so forth.

Now lets have a look at the form object. Form
stores an environment this form was compiled in,
and a bytecode sequence. Form can be either
disassembled (turned into some string representation)
or evaluated. Evaluation needs an environment
(local variables table) and a root context (usually
taken from VM instance).

h2. Primitives.

Obviously not everything is written in Scheme. Some
basic functions come from the Python land and thus
called primitives. Primitives are wrappers around
Python's callables that know it's arity and Python
function to call to do actual execution.

Primitives are stored in top-level environment
(environment of the VM instance) as PyPrimitive
(or PyCallable) instances. Arity is a tuple of 2,
where first value means minimal number of
argiments and second value means maximum number of
arguments. -1 means "no limit".

Exception handling for type errors in primitives
implemented as a decorator type_error_decorator
that catches Python's TypeError and raises
Skime's WrongArgType with the same message.

Here are primitives that back + and * in Scheme:

@type_error_decorator
def plus(vm, *args):
    return sum(args)

@type_error_decorator
def mul(vm, *args):
    res = 1
    for x in args:
        res *= x
    return res

First argument all primitives take is a VM instance
that can be used by the primitive. Actually the only
use of VM instance in Skime primitives is to do
evaluation where necessary.

h2. Scheme types.

Scheme types list and symbol are implemented in Python
as Pair and Symbol classes. Since Scheme is a functional
language and in functional languages list comprehensions
often use notion of tail and head, and because car and
cdr are functions you cannot imagine Scheme without,
Python list is not exactly what we need.

Pair in Skime stores head element and a reference to
list tail. For instance, a Scheme list (1 2 3) is
built as 3 nested Python pairs:

pair(1, pair(2, pair(3, None))))

This makes car and cdr implementation trivial.

h2. Procedures.

Skime has another class that reflects Scheme language
constructs. The very core of Scheme, a procedure,
is implemented as a Procedure instance.

h2. Example.

Consider the following Scheme code:

(begin
  (define a (* 99 11))
  (define b (+ 29 33))
  (+ a b))

If we trace bytecode of the whole program, it looks like this
array('i',
[9, 0,
9, 1,
5, 2,
1, 2,
6, 72,
9, 2,
9, 3,
5, 0,
1, 2,
6, 73,
5, 72,
5, 73,
5, 0,
1, 2])

Here is disassembled version:

============================================================
Diasassemble of form at B7CF24AC
literals:
   0: 99
   1: 11
   2: 29
   3: 33

instructions:
--------------------------------------------------
0000         push_literal literal=0
0002         push_literal literal=1
0004           push_local idx: 2, name: *
0006                 call argc=2
0008            set_local idx: 72, name: a
000A         push_literal literal=2
000C         push_literal literal=3
000E           push_local idx: 0, name: +
0010                 call argc=2
0012            set_local idx: 73, name: b
0014           push_local idx: 72, name: a
0016           push_local idx: 73, name: b
0018           push_local idx: 0, name: +
001A                 call argc=2
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