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LitaC (pronounced Lee-ta-see) is a C like language. In fact, its main goal is to be C with some minor syntax sugar. It compiles to ISO-C99 (C11 for some features) which has the benefits of being fairly easy to use existing C libraries and code, and can target any platform with a C99 compiler.

This is the self-hosted compiler implementation -- the original bootstrap implementation can be found here.. This implementation is currently heavily in development and the bootstrap version is no longer supported and lacks current features.

Goals & Purpose

First what's not a goal: LitaC is not meant to replace any existing languages. It isn't trying to conquer the programming world.

With that disclaimer out of the way, what I'd like LitaC to do:

Syntax

The syntax:

import "std/libc"

func main(len:i32, args:**char):i32 {
    printf("Hello World")
}

Features

Types

Primitive Types

NameC EquivalentDescription
boolint8_tboolean value, true or false (1 or 0)
u8uint8_tunsigned 8-bit integer
i8int8_tsigned 8-bit integer
u16uint16_tunsigned 16-bit integer
i16int16_tsigned 16-bit integer
u32uint32_tunsigned 32-bit integer
i32int32_tsigned 32-bit integer
u64uint64_tunsigned 64-bit integer
i64int64_tsigned 64-bit integer
f32float32-bit floating point
f64double64-bit floating point
usizesize_tunsigned pointer sized integer
voidvoidabsence of a type

Pointers

Pointers are defined slightly different than C:

// in C this is char* str = (char[3]){'h','i','\0'}, a mutable pointer to mutable values
var str: *char = []char {'h', 'i', '\0'};

// in C this is const char* str2, a mutable pointer to an immutable value
var str2: *const char = "Hi";

// in C this is const char* const str3, an immutable pointer to an immutable value
var str3: const* const char = "Hi";

NOTE: Currently, the LitaC compiler does not validate modifications to memory are valid (i.e., const in the context of var s: *const char is currently only for documentation purposes)

Arrays

TODO documentation - array's are currently identical behavior as C

String

As of right now, strings still are null terminating and have all of the negative characteristics as normal C strings. There is one syntactical advantage in LitaC -- verbatim (aka multi-line) strings.

var myString = """
  "this" is a string
    that expands
  multiple lines
"""

printf("'%s'", myString) // will print out:
/*
'
"this" is a string
  that expands
multiple lines
'
*/

TODO: Unicode support

Structures

Definition

struct Person {
    age: i32
    name: *const char
}

Initialization

var brett: Person = Person {
    .age = 44,  // using .age field initializer
    .name = "Brett Favre"
}

printf("%s is %d old\n", brett.name, brett.age);

// using type inference
var donald = Person {
    41,             // using position initializer
    "Donald Driver"
}

printf("%s is %d old\n", donald.name, donald.age);

Unions

Unions behave exactly like in C; where members share the same memory space.

union Value {
    strValue: *const char
    intValue: i64
    floatValue: f64
}

var val = Value {
    .intValue = 31
}

Traits

Traits allow for indirection of implementations. Much like Go, in LitaC you define a trait and a type is said to implement a trait if it implements all of the trait methods.

// Create a graphics renderer trait, in which will allow a codebase to switch
// between implementations
trait Renderer {
    drawImage: func(*Image, f32, f32) : void
    drawRect: func(f32, f32, f32, f32) : void
}

struct OpenGLRenderer {
    // ...
}

func (this: *OpenGLRenderer) drawImage(image: *Image, x: f32, y: f32) : void {
    // ...
    printf("Drawing an OpenGL image\n")
}

func (this: *OpenGLRenderer) drawRect(x: f32, y: f32, width: f32, height: f32) : void {
    // ...
    printf("Drawing an OpenGL rectangle\n")
}


struct DX12Renderer {
    // ...
}

func (this: *DX12Renderer) drawImage(image: *Image, x: f32, y: f32) : void {
    // ...
    printf("Drawing a DirectX image\n")
}

func (this: *DX12Renderer) drawRect(x: f32, y: f32, width: f32, height: f32) : void {
    // ...
    printf("Drawing a DirectX rectangle\n")
}


func Draw(renderer: Renderer) {
    var image: *Image = ...
    renderer.drawImage(image, 24, 24)
    renderer.drawRect(2, 16, 32, 32)
}

func main(len: i32, args: **char) : i32 {
    // both OpenGLRenderer and DX12Renderer implement the Renderer trait because
    // it implements the trait methods
    var openGL = OpenGLRenderer {}
    var dx = DX12Renderer{}

    var useOpenGL: bool = ...

    // determine which trait implementation to use
    // at runtime.
    var renderer: Renderer;

    if(useOpenGL) {
        // notice we are taking the address of the openGL, we can only assign pointers to
        // trait types, and trait types themselves must be values
        renderer = &openGL
    }
    else {
        renderer = &dx
    }

    Draw(renderer)
}

Trait Assignment

Traits are special types in LitaC in that assignment to them behave slightly differently than other types.

var renderer: Renderer = &openGL; // only pointers of implementation types are allowed to be assigned
var otherRenderer: *Renderer = &renderer; // only a pointer to trait can be assigned by addressing a trait type

// these are invalid assignments:
var renderer: Renderer = openGL; // INVALID: because openGL is a value and not a pointer
var renderer: *Renderer = openGL; // INVALID: because assigning to a trait pointer can only be done thru addressing a trait type
var renderer: *Renderer = otherRenderer; // INVALID: because assigning to a trait pointer can only be done thru addressing a trait type

Trait Implementation

When traits get compiled to C they use a virtual table to store pointers to the actual implementation function. There is a performance cost to using the dynamic nature of traits.

Rough C code translation:

//LitaC:
trait List {
    fn: func() : i32
}

struct LinkedList {
    // ...
}

func (this: *LinkedList) fn() : i32 {
    // ...
}

//C:
// the trait itself becomes this structure
struct List {
    ListVirtualTable* vtable; // the virtual table containing the function pointers
    void* this;               // a pointer to the concrete implementation type
}

// generated Virtual table
struct ListVirtualTable {
    i32 (*fn)(void*);  // the function pointer, with void* this as the first parameter
}

// Wrapper function that basically just casts the void* to the concrete type and calls the
// concrete function
i32 LinkedList_fn_wrapper(void* this) {
    LinkedList* _this = (LinkedList*)this;
    return LinkedList_fn(_this); // calls the actual LinkedList.fn function
}

// global of all implementations mapping to their concrete functions for each type
static ListVirtualTable** ListVtables = {
    [0] = &(ListVirtualTable) {
        .fn = LinkedList_fn_wrapper
    },
    ...
}

// Create a casting function that converts the concrete type to the trait type.  In doing so, we must
// ensure the proper vtable implementation functions are populated
List LinkedList_to_List(LinkedList* list) {
    return List {
        .vtable = ListVtables[0], // uses the global virtual table, matches the index to the proper implementation
        .this = list              // sets the this pointer to the concrete type
    }
}

// Calling a trait method:
//////////////////////////////

//LitaC:
    list.fn()
//C:
    list->vtable->fn(list->this)   // we must convert the trait call to call the vtable and also pass in the 'this' pointer


// Assignment
//////////////////////////////

//LitaC:
    var ll = LinkedList {...}
    var list: List = &ll
//C:
    LinkedList ll {...}
    List list = LinkedList_to_List(&ll)   // Cast the LinkedList to List type

Full Examples

// imports a module, namespace it with adding "as c", otherwise the public attributes
// will be placed in this modules scope
import "std/libc" as c


// Defines a structure
struct Vec2 {
    x: f32
    y: f32
}

// Defines a function
func Vec2Add(a:Vec2, b:Vec2, out:Vec2) : Vec2 {
    out.x = a.x + b.x
    out.y = a.y + b.y
    return out
}

// structure with union
struct X {
    union V {
        x: i32
        f: f32
    }
}

func main(len:i32, args:**char):i32 {
    // the c:: namespaces the function
    c::printf("Just because you are paranoid, don't mean their not after you\n")

    // numbers
    var b : bool = true // Boolean type, is an int8_t in C, 0 = false, 1 = true
    var i : i8 = 1_i8   // 8-bit integer, is an int8_t in C
    var j : i16 = 1_i16 // 16-bit integer, is an int16_t in C
    // ..i32, i64,
    var k : u16 = 1_u16 // 16-bit unsigned integer, is an uint16_t in C
    // ..u32, u64,
    var f : f32 = 0.5_f32 // 32-bit float
    var d : f64 = 0.5_f64 // 64-bit float
    var u = 0.5 // 64-bit float


    // types can be inferred:
    var age = 32   // age is a i32
    var n   = 32_i64   // is a i64

    // String and Arrays
    var s   = "Hello"  // a char* null terminated string. TODO, make strings include length
    var a   = [2]i32   // an array of i32 of size 2
    var a2  = []i32 { 1, 2, 3 }

    var index = a2[0] // '1'

    // initialize a structure on the stack, can optionally use initializer syntax
    var pos = Vec2 { .x: 0_f32,
                     .y: 0_f32 }

    var vel: Vec2 = Vec2{1.5f, 2.5f}

    // call a function
    Vec2Add(pos, vel, pos)

    // function pointer
    var fn : func(Vec2, Vec2, Vec2) : Vec2 = &Vec2Add;
    // or simply:
    var myAdd = &Vec2Add;

    // initialize the structure with union
    var x = X { V { 34 } }
}

Modules

A module is a container for code, which can contain definitions for functions, structures, etc. A module may be imported by other modules - importing a module allows the public functions and types defined in the imported module be available for use in the current module. Any function or type not defined with public will be private to the module and not be visible to other modules.

Importing a module does not simply "copy" the code - but rather gives the type checker visibility to the imported module types.

Module's are confined to a single file. If you define a file packers.lita you can import the module from another module by:

import "packers"

You can compose modules from multiple other module files by extending them via using imports. The using import will import the module into the scope of the current module, but the key difference is it will treat the imported module as if its part of the current module's definitions.

Let's look at an example.

Given these files:

/packers.lita
/brett.lita
/donald.lita
/main.lita

packers.lita

// import the public members of brett and donald modules
import using "brett"
import using "donald"

public func getTeamName() :*const char {
    return "Green Bay Packers"
}

brett.lita

public func getBestQB() : *const char {
    return "Brett Favre"
}

// this function will not be visible outside of the 'brett' module
func getNumberOfInterceptions() : i32 {
    return 0 // :|
}

donald.lita

public func getBestWR() : *const char {
    return "Donald Driver"
}

main.lita

import "std/libc"
import "packers" // we only need to include the 'packers' module and we will have full visibility to 'donald' and 'brett' modules

func main(n:i32, args:**char) {
    printf("%s\n", getBestQB())   // "Brett Favre"
    printf("%s\n", getBestWR())   // "Donald Driver"
    printf("%s\n", getTeamName()) // "Green Bay Packers"

    // would error, as 'getNumberOfInterceptions' is private to the 'brett' module
    // printf("%d\n", getNumberOfInterceptions())
}

Control Statements

import "std/libc" // place libc public types in this scope

func main(len:i32, args:**char):i32 {
    if (true) {
        defer printf(" there\n") // will execute at the end of this scope
        printf("Hi")
    }
    else {
        printf("Bye")
    }

    var i = 0
    while (i < 10) {
        if ((i % 2) == 0) {
            break
        }
        else {
            i += 1
            continue
        }
    }

    i = 0
    do {
        if ((i % 2) == 0) {
            break
        }
        else {
            i += 1
            continue
        }
    }
    while (i < 10);

    for(var j = 0; j < 10; j+=1) {
       printf("%d\n", j)
    }

    var x = 2
    switch(x) {
      case 0: printf("it's 0\n")
         break;
      case 1: printf("it's 1\n")
         break;
      default:
         printf("I give up!\n")

    }

    printf("The Packers are ")
    goto end;  // jump over this lie
    printf("not ")

end:
    printf("the best\n");
}

Generics

// Defines a generic structure
struct Vec2<T> {
    x: T
    y: T
}

// Defines a generic function
func Vec2Add<T>(a: Vec2<T>, b: Vec2<T>, out: Vec2<T>) : Vec2<T> {
    out.x = a.x + b.x
    out.y = a.y + b.y
    return out
}

// You alias this type
typedef Vec2<i32> as Vec2i


func main(len:i32, args:**char):i32 {
    //
    var origin = Vec2<f32> { 0.0f, 0.0f }  // using generics syntax
    var vel    = Vec2i { 0,0 }             // using the alias

    Vec2Add<i32>(vel, vel, vel)
    Vec2Add<f32>(origin, origin, origin)

    // generic types can also be infered:
    Vec2Add(vel, vel, vel) // infered as <i32>
}

Methods

There is syntax to allow functions to masquerad around like methods.

struct Vec2 {
    x: f32
    y: f32
}

// as a matter of convention, "methods" should be camelCase and freeform
// functions should be UpperCamelCase
func (v: Vec2) add(other: Vec2) : Vec2 {
    return Vec2 { v.x + other.x, v.y + other.y }
}

func main(len:i32, args:**char) : i32 {
    var origin = Vec2{0,0}

    // method syntax sugar
    origin.add(Vec2{3,4})
}

Functions

Functions can define default parameters and function calls can include named arguments.

// Non default parameters can't be defined after a default parameter,
// e.g.  func Test(a: i32 = 1, b: i32) { // INVALID because b: i32 which doesn't have a default parameter is defined after a: i32 = 1.
func Test(a: i32, b: i32 = 2) {
    // do stuff
}

Test(a) // will evaluate to Test(a, 2)
Test(.a = 1) // will evaluate to Test(1, 2)
Test(.b = 3, .a = 2) // will evaluate to Test(2, 3)
Test(.b = 1)  // INVALID, because no default parameter for 'a'
Test(.b = 1, 1)  // INVALID, because fixed parameters can't come after named parameters

Tests

Write tests right along side your application code. When compiling for library/executable, the test code will not be included in the final binary.

func Add(a: i32, b: i32) : i32 {
    return a + b
}

// This annotation denotes a test.
@test("test.Add My first test")
func testAdd() {
    assert(Add(4, 8) == 12)
}

@test("test.Add My second test")
func testAdd2() {
    assert(Add(4, -8) == -4)
}

If you include the following command line option to the litaC compiler, this will run all the tests.

litac -test ".*" ...

If you only want to run a subset of unit tests, you can define a Regular Expression to pick up the test names you want to run. It is recommended to name your tests with a prefix standard (such as appName.module.testName, which would allow you to run full application tests via appName.* or module specific tests via appName.module.*).

Building

In order to build litaC compiler you will need:

NOTE: Currently, only tested and buildable for Windows x64, Linux (Ubuntu, Fedora 38) and MacOS

Admittedly, this process isn't as friendly right now as it should be. At some point I will write more robust build scripts (also LitaC compiler is lacking some features to enable this). For now, clang is hardcoded in the scripts - but should be easy enough to switch to another compiler (tcc or gcc).

Configure the compiler

The file src/config.lita has some parameters to configure the compiler, it is documented and should be easy to grasp.

Build

Windows

git clone https://github.com/tonysparks/litac-lang.git
cd litac-lang
build_bootstrap.bat
build.bat

Linux/Mac

git clone https://github.com/tonysparks/litac-lang.git
cd litac-lang
build_bootstrap.sh
build.sh

The build_bootstrap.bat will compile the bootstrap/litac.c file creating a litac.exe (litac on Ubuntu). The build.bat file will use the bootstrap/litac.exe to build the compiler from lita source (src/) and output a new binary in bin/litac.exe.

NOTE: For MacOS, tcc is a bit finicky to install, ideally brew install tcc would just work. However, this doesn't appear to work on latest versions of MacOS. As a work around, you can build tcc from (alternative) source:

git clone https://github.com/Alex2804/libtcc-cmake
cd libtcc-cmake
mkdir build
cd build
cmake ..
make
cd ../..
cp libtcc-cmake/build/libtcc.a lib/libtcc.a

Using LitaC Compiler

Once you have built the litac executable (which will be located in the /bin folder after build.bat), you can verify the build is valid by:

litac -help

Which will print out the command line help contents.

usage> litac [options] [source file to compile]
OPTIONS:
  -languageServer      Start the LitaC language server
  -lib <arg>           The LitaC library path
  -cPrefix <arg>       The symbol prefix to use on the generated C code output
  -run                 Runs the program after a successful compile
  -checkerOnly         Only runs the type checker, does not compile
  -cOnly               Only creates the C output file, does not compile the generated C code
  -profile             Reports profile metrics of the compiler
  -disableLine         Disables #line directive in C output
  -debug               Enables debug mode
  -verbose             Enables verbose output
  -srcDir              Specifies the source code directory, defaults to the parent folder of the supplied source file
  -doc                 Generates document output
  -docDir <arg>        Directory where the generated documents are written to; defaults to './output'
  -docAll              Includes non-public types in the documentation generation; defaults to false
  -o, -output <arg>    The name of the compiled binary
  -outpuDir <arg>      The directory in which the C output files are stored
  -v, -version         Displays the LitaC version
  -h, -help            Displays this help
  -t, -types <arg>     Includes TypeInfo for reflection
                       <arg> can be:
                         all         Means all types will have reflection values
                         tagged      Means only basic types and types annoted with @typeinfo will have reflection values
  -test <arg>          Runs functions annotated with @test.  <arg> is a regex of which tests should be run
  -testFile            Runs functions annotated with @test in the supplied source file only
  -pkg-install         Scans for a pkg.json file and downloads and installs LitaC packages defined in the `dependencies` section.
                       If successful, creates a build.json which is used for building this LitaC project.
  -proxy               Defines a proxy server to use when making network calls.  Ex. -proxy https://proxy.com:443
  -buildCmd            The underlying C compiler build and compile command.  Variables will
                       be substituted if found:
                          %output%         The executable name
                          %input%          The C file(s) generated

Here is an example command line options:

set LITAC_PATH=C:\Users\antho\git\litac-lang\stdlib
litac -run -lib "%LITAC_PATH%" -buildCmd "clang.exe -o %%output%% %%input%% -D_CRT_SECURE_NO_WARNINGS -I../include -L../lib -lraylib.lib" -outputDir "./bin" -output "mini" "./src/main.lita"

This example, builds an executable named mini from the ./src/main.lita source file. It will run the executable after it compiles (only if there are no errors). It uses clang to compile the generated C code. This also specifies where the litac standard library exists (which is the stdlib folder in the litac project source.

Environment Variable

The LitaC compiler will also look at the LITAC_HOME environment variable to search for the standard library files if the -lib is not set. When setting the LITAC_HOME environment variable, there is no need to set the -lib command line option, the LITAC_HOME variable should be set to the parent directory of the lib folder of the litac git project.

Ex.

LITAC_HOME=/home/tony/projects/litac

LitaC Package Manager

A LitaC package is a bundle of LitaC modules and any other dependencies (such as DLL's, static libraries or C header files).

The litac executable contains a command (-pkg-install) for downloading third party packages. As of right now, only packages hosted on github.com are supported. Packages are defined and can be referenced by creating a pkg.json file in your project folder.

Example project structure:

bin/
lib/
src/
pkg.json

Here is an example pkg.json for using a third-party test-pkg package:

{
    "repo" : "https://github.com/tonysparks",
    "name" : "litac-lang",
    "version" : "0.1.2-alpha",
    "type": "executable",

    // here is where you define any packages you want to be used
    "dependencies": [
        {
            "repo" : "https://github.com/tonysparks",
            "name" : "test-pkg",
            "version" : "1.0",
        }
    ]
}

If you execute the command litac -pkg-install this will download any defined packages in the dependencies section of your pkg.json and extract them to the .pkgs/ directory. It will also create a .build.json file which will be used by the litac compiler to resolve package module files.

After executing litac -pkg-install:

.pkgs/
bin/
lib/
src/
pkg.json
.build.json

From your code, you can just import the package modules as if they were local.

import "test"  // the 'test' module is defined in the 'test-pkg:1.0' third-party package

func doStuff() {
    Test(4)  // call functions/types defined the 'test' module
}