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https://github.com/cgaebel/newlang
New language, based largely on C, D, and Python.
https://github.com/cgaebel/newlang
Last synced: about 1 month ago
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New language, based largely on C, D, and Python.
- Host: GitHub
- URL: https://github.com/cgaebel/newlang
- Owner: cgaebel
- Created: 2011-06-14T16:23:04.000Z (over 13 years ago)
- Default Branch: master
- Last Pushed: 2011-08-07T20:21:43.000Z (over 13 years ago)
- Last Synced: 2024-05-01T19:35:17.285Z (7 months ago)
- Language: C
- Homepage:
- Size: 141 KB
- Stars: 1
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.markdown
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README
# Meta
* Wrap 80 characters/line.
* Have code samples for every language feature.
* Indentation with spaces - not tabs.
* Every member of the language spec has four parts:
* Brief description
* Code sample (as short as possible, illustrating the feature in isolation)
* Rationale
* Limitations (optional)
* No point of contention can become part of the language unless both parties
have commented on it.# Viability
In order for this language to be worth its salt, the following libraries and
programs _must_ have an elegant, idiomatic implementation. If it is impossible
to write any of these cleanly, the language is sorely lacking.* GUI Toolkit
* Tests the languge's ability to handle common OOP patterns.
* Arbitrary-sized arithmetic
* Performance
* Operator overloading
* Inline assembly?
* Security Library
* Performance
* Correctness testing
* Numerical processing
* Repetitive code
* Asynchronous HTTP Server
* Concurrency
* Performance
* Memory management# Language Specification
## Points of Contention
### Anonymous function syntax.
### How should function generics be implemented?
_ben: I would propose allowing them only as functions of class generics, like:_
void genericFunc(myClass(T1, T2) myObj)
### Operator overloading should be a language feature.
* Pros
* A bignum library (or any numerical processing, really) would be elegant.
* Cons
* Extremely hard to get right.
* Breaks uniform function syntax, adding yet another exception to the rule.
* Has different semantics from functions entirely! Infix expressions are
just so alien._ben: Overloaded operators should have a guarantee of purity - that if the same
object is invoked with the same operator and the same parameter(s), then the
result is guaranteed.__clark: What about if when an operator is overloaded, it MUST have the same
mathematial properties as the thing it's emulating. Therefore, the (+) operator
must be associative and commutative. This will ensure that only math-emulators
overload these operators. We still need to think of a syntax though. And don't
forget that there are unary AND binary operators, as well as the possibilty
(or lack) of user-defined operators.__What about the following implementation?_
S uop(string op, const S$ a) # unary ops
S bop(string op, const S$ a, const S$ b) # binary ops_ben: I'd prefer having only the guarantee of purity, but functions can be
annotated for associativity, commutativity, and other properties._### Users should be allowed to create their own operators.
* Pros:
* Operations like dot-product and cross-product can have operators defined
for them, rather than using member functions.
* Cons:
* Can lead to unreadable and unintuitive code.
* It's a lexical nightmare, depending on what restrictions we place on it._ben: All operators should have a guarantee of purity, even user-created ones.
This helps keep the code sane._### Casting between arbitrary types should be allowed.
* Pros
* Allows for systems programming tasks such as reversing the bytes in a
number. It can be argued that this can be done with bitshifts, but I'd
rather have the compiler do it.
* Cons
* Makes the compiler's job harder. Less assumptions can be made.
* It's evil. Almost everywhere. Is there anywhere it's necessary?_ben: Proposed:_
* All pointer types can be cast to `native` (including casts like `char$$`
to `native$`).
* You can only cast to an object of smaller or equal size (e.g. `uint32` to
`uint8`).
* Size enforcing is done through pointers as well (illegal: `uint8` to
`uint32`)_However, pointer-casting is only necessary in low-level applications,
like your byte-swapping example above. For such a low-level niche, perhaps C
should just be used. Forcing people to use C in such cases means we get to
make the language much safer by disallowing pointer-casting altogether._## Built-in types
* \(u\)int\[8, 16, 32, 64, inf\]
* native (unsigned. memsize)
* ptrdiff (signed, memsize)
* bool (Only two valid assignments - true/false. No other assumptions about its
representation are made.)
* tinyfloat (equivalent to C's `float`)
* float (equivalent to C's `double`)## Object Model
Objects are POD (plain old data), and the `struct` keywrd is replaced with
`type`.type SomeObject
int a
SomeOtherObject b
int cAny function taking an `Object$` as its first parameter can be syntactically
used as a member function of that type. This can be extended to accomodate
a multiple-dispatch syntax.Therefore,
foo(SomeObject$ this, int x, int y) -> int
++this.c
return x + y + this.aSomeObject bar
int z = bar.foo(2, 3)SomeObject$ pbar = $bar
z = pbar.foo(2, 3)is entirely valid syntax.
There is only one special constructor - the default constructor. This is
defined as a function with the same name as the structure is is
constructing. All built-in structures have a default constructor, and if
one is not provided by the code, the compiler shall create one which does
nothing.Before an object's default constructor is called, the default constructor for
all its elements will be called.type S
int a
int b
int cS s # all elements are set to zero since the default constructor
# generated by the compiler sets all ints to zero.#####################################/
S() -> S
S ret # TODO: This is recursive. Fix. Do we need a different syntax?
# What if we had an implicit `this` parameter, which is
# a pointer to the object to be constructed (after its
# children have been)?ret.a = 1
ret.b = 2
ret.c = 3return ret
S s # in this case, we have a default constructor. s will be { 1, 2, 3 }.
To define a constructor which takes arguments, you can just use an ordinary
function!S(int x, int y) -> S
S ret # calls the default constructor first...ret.a = x
ret.b = y
assert(ret.c == 3) # From the default constructor.return ret
S s = S(9, 10)
assert(s == { 9, 10, 3 })### Copying and Moving Data
Copying is done automatically by the compiler when necessary, such as assigning
from an lvalue, or passing-by-value. It is done in two steps:1. Each element of the structure is copied recursively.
2. `pcopy()` is run on the new structure.`pcopy()` is a user-defined function defined as `void pcopy(S$)` where S is the
type of the type you want `pcopy` to be defined for. It stands for *p*ost
*copy* since the function is run after the structure's elements have been
copied. If `pcopy()` is not defined for a structure, a blank one is generated
by the compiler.type S
int apcopy(S$ s) -> void
s.a += 1 # increments s.a every time a copy is made.S s
assert(s.a == 0) # thanks to int's default constructorS x = s
assert(x.a == 1)# Even though S is returned, pcopy isn't run. This is because it is
# entirely transparent, and would just be wasted cycles.
returns1() -> S
S ret
ret.a = 1
return retS y = returns1()
assert(y.a == 1)Move constructors are not necessary, since it can be emulated by the compiler
refusing to call `pcopy()`.A destructor for type `T` is defined as such:
destroy(T$ obj) -> void
If a destructor is not user-supplied, a default (empty) one is provided.
### Inheritance/Polymorphism
Inheritance (and, by extension, polymorphism) is not a language built-in. A
vtable library will be provided by the standard library to assist in explicit
construction.### Generic Objects
See `Generics` section.
## Generics
### Object Generics
Generic objects can be paramaterized with a type *only*, as such:
type List(T)
# This is the same `T`!
type Node(T)
T val
Node(T)$ nextNode(T)$ head
## Functions
Variadic functions will take a tuple of all the variadic arguments as a
parameter, which can then be iterated over, used with RTTI, etc.Function header syntax is being changed to be more readable:
foo(int bar) -> int
For functions which do not return a value, `null` should be used as the return
type.## Pointers
In NewLang, the . operator will work for both objects and object pointers.
s->x ===> s.x
C++'s references (as a replacement for pointers) do not exist.
`restrict` pointers are allowed, with some heavy static checking to ensure
coder sanity.`*` is replaced by `$` as the pointer operator:
int i = 5
int$ p = $i
int j = i$## Testing
Tests are run as the final step in compilation. A failed test is equal to a
failed build. There is no such thing as disabling all tests, but specific tests
may be disabled with an attribute on the unittest block. Possibly something
like:unittest(disable)
assert(2 + 2 == 5) # WHY DOESN'T THIS WORK!?!All tests are attempted. If a test fails, it is marked and testing of the rest
continues.## To Be Organized
`auto` still exists, but only applies to variable declarations.
Semicolons for the purpose of ending expressions is no longer a thing.
`static` is eliminated, except for the case where it means "local to this
module", where it is renamed to `local`.Exceptions from D are implemented, but the number of built-in exceptions will
be largely reduced.Double operators (`==`, `&&`, et al.) are replaced with their single-operator
counterparts; operation can be determined based on context.The assignment operator is `:=`.
Indentation replaces braces, similar to Python.
Built-in high-resolution timer.
Inline assembly.
Built-in CPUID.
Postfix increment/decrement operators are eliminated.
Prefix increment/decrement operators have no return value.
Generics and RTTI may be either runtime or compile-time determined; the
optimizer may choose which is preferable.Only single-line comments are allowed, with \#.
`assert(expr)` will be a compiler built-in. If the expression can be resolved
at compile time, it will be. In release/fast builds, the expression becomes an
assumption for the optimizer. This provides performance incentives to defensive
coding.No header files, only modules. We can probably rip off D's module system in its
entirety.Strings are vectors of chars. Conversion to C-strings will be necessary to
talk to C. Much of stdlib's string.h will have to be rewritten.Anonymous functions can be created with the function keyword.
All built-in types will have default initialization values; if default
initialization is not wanted, there will be a keyword to prevent
initialization.Calling conventions will be undefined by default. This ensures the optimizer
gets the best possible angle of attack on your code.There is a `pure` keyword. If a function is pure and unannotated, emit a
diagnostic. If a function is annotated pure and is not, terminate compilation.`const` stays.
Anonymous types are a thing; members can be either named, or accessed with
array operators (tuples). A syntax still needs to be decided upon. It should
probably resemble lambdas.n-conditionals are allowed (e.g. x < y < z = 0).
Unit tests for separate modules are run in parallel.
Nice interfacing with C.
Casting away `const` is illegal - not undefined behavior.
Unit-testing resembles that of D, but has an API accessible from `main()` which
handles test reporting, running, etc. Possibly run tests before `main()` iff
`test_ext` has not been imported. Otherwise, don't run any tests except those
explicitly run by `main()`.## Compiler Options
* Build types (--build)
* Debug (--build=debug)
* No optimizations, all asserts on.
* Focus on code making sense in a debugger.
* Dev (default) (--build=dev)
* Simple optimizations, all asserts on.
* Focus on lowering the build->test cycle. Compilation should be
blazing fast, but without sacrificing too much run-time speed. There
is a delicate middle ground that the Dev build tries to find.
* Release (--build=release)
* Full optimization. All asserts on (custom hook enabled).
* Focus on production-quality code. Build time is not important, and is
sacrificed to improve quality of shipping code. Asserts are also on,
but can be hooked by the program to do proper error-reporting.
* Fast (--build=fast)
* Full optimization. All asserts off.
* Focus on fast code. That's it. Asserts will be off, and build time
will be sacrificed for final runtime speed.Compiler Internals
-------------------The compiler should be designed modularly, and as a library. The binary will
just be a litle driver (no more than absolutely necessary, such as argument
parsing) to the main compilation library. Then, the compiler library will be
available in stdlib.Compiler Development
---------------------An optimization may only be added to the dev build if and only if it lowers the
bootstrapping time.An optimization may only be added to the compiler if and only if the run time
of the compiler's test suite does not increase with the optimiation enabled.