Overview

Introduction #

This article is a basic tutorial for the programming language Odin. This tutorial assumes a basic knowledge of programming concepts such as variables, statements, and types. It is recommend to read the Getting started with Odin guide.

Hellope! #

To begin this tour, let us start with a modified version of the famous “hello world” program:

package main

import "core:fmt"

main :: proc() {
	fmt.println("Hellope!")
}

Save this code to a .odin file, then compile and run it using odin run <dir>. For the current directory:

odin run .

The run command compiles the .odin file to an executable and then runs that executable after compilation. If you do not wish to run the executable after compilation, the build command can be used.

odin build <dir>

Odin thinks in terms of directory-based packages. To tell it to treat a single file as a standalone package, add -file, like so:

odin run hellope.odin -file

Lexical elements and literals #

Comments #

Comments can be anywhere outside of a string or character literal. Single line comments begin with //:

// A comment

my_integer_variable: int // A comment for documentation

Multi-line comments begin with /* and end with */. Multi-line comments can be also be nested (unlike in C):

/*
	You can have any text or code here and
	have it be commented.
	/*
		NOTE: comments can be nested!
	*/
*/

Comments are parsed as tokens within the compiler. This is to allow for future work on automatic documentation tools.

String and character literals #

String literals are enclosed in double quotes and character literals in single quotes. Special characters are escaped with a backslash \.

"This is a string"
'A'
'\n' // newline character
"C:\\Windows\\notepad.exe"

Raw string literals are enclosed in single back ticks.

`C:\Windows\notepad.exe`

The length of a string can be found using the built-in len proc:

len("Foo")
len(some_string)

If the string passed to len is a compile-time constant, the value from len will be a compile-time constant.

Escape Characters #

\a - bell (BEL)
\b - backspace (BS)
\e - escape (ESC)
\f - form feed (FF)
\n - newline
\r - carriage return
\t - tab
\v - vertical tab (VT)
\\ - backslash
\" - double quote (if needed)
\' - single quote (if needed)
\NN- octal 4 bit character (2 digits)
\xNN - hexadecimal 8 bit character (2 digits)
\uNNNN - hexadecimal 16-bit Unicode character UTF-8 encoded (4 digits)
\UNNNNNN - hexadecimal 24-bit Unicode character UTF-8 encoded (6 digits)

Numbers #

Numerical literals are written similar to most other programming languages. A useful feature in Odin is that underscores are allowed for better readability: 1_000_000_000 (one billion). A number that contains a dot is a floating point literal: 1.0e9 (one billion). If a number literal is suffixed with i, it is an imaginary number literal: 2i (2 multiply the square root of -1).

Binary literals are prefixed with 0b, octal literals with 0o, and hexadecimal literals with 0x. A leading zero does not produce an octal constant (unlike C).

In Odin, if a number constant can be represented by a type without precision loss, it will automatically convert to that type.

x: int = 1.0 // A float literal but it can be represented by an integer without precision loss

Constant literals are “untyped” which means that they can implicitly convert to a type.

x: int // `x` is typed of type `int`
x = 1 // `1` is an untyped integer literal which can implicitly convert to `int`

Variable declarations #

A variable declaration declares a new variable for the current scope.

x: int // declares x to have type `int`
y, z: int // declares y and z to have type `int`

Variables are initialized to zero by default unless specified otherwise.

Assignment statements #

The assignment statement assigns a new value to a variable/location:

x: int = 123 // declares a new variable `x` with type `int` and assigns a value to it
x = 637 // assigns a new value to `x`

= is the assignment operator.

You can assign multiple variables with it:

x, y := 1, "hello" // declares `x` and `y` and infers the types from the assignments
y, x = "bye", 5

Note: := is two tokens, : and =. The following are all equivalent:

x: int = 123
x:     = 123 // default type for an integer literal is `int`
x := 123

Constant declarations #

Constants are entities (symbols) which have an assigned value. The constant’s value cannot be changed. The constant’s value must be able to be evaluated at compile time:

x :: "what" // constant `x` has the untyped string value "what"

Constants can be explicitly typed like a variable declaration:

y : int : 123
z :: y + 7 // constant computations are possible

For more information regarding value declarations in general, please see the Odin FAQ and Ginger Bill’s article On the Aesthetics of the Syntax of Declarations.

Packages #

Every Odin program is made up of packages. Programs begin running in the package main.

`import` statement #

The following program imports the the fmt and os packages from the core library collection.

package main

import "core:fmt"
import "core:os"

main :: proc() {
}

The core: prefix is used to state where the import is meant to look; this is called a library collection. If no prefix is present, the import will look relative to the current file.

Note: By convention, the package name is the same as the last element in the import path. "core:fmt" package comprises of files that begin with the statement package fmt. However, this is not enforced by the compiler, which means the default name for the import name will be determined by the last element in the import path if possible.

A different import name can be used over the default package name:

import "core:fmt"
import foo "core:fmt" // reference a package by a different name

Exported names #

All declarations in a package are exported by default.

The private attribute can be applied to an entity to prevent it from being exported from a package.

@(private)
my_variable: int // cannot be accessed outside this package.

You may also make an entity private to the file instead of the package.

@(private="file")
my_variable: int // cannot be accessed outside this file.

@(private) is equivalent to @(private="package").

Control flow statements #

`for` statement #

Odin has only one loop statement, the for loop.

Basic for loop #

A basic for loop has three components separated by semicolons:

The initial statement: executed before the first iteration
The condition expression: evaluated before every iteration
The post statement: executed at the end of every iteration

The loop will stop executing when the condition is evaluated to false.

for i := 0; i < 10; i += 1 {
	fmt.println(i)
}

Note: Unlike other languages like C, there are no parentheses ( ) surrounding the three components. Braces { } or a do are always required.

for i := 0; i < 10; i += 1 { }
for i := 0; i < 10; i += 1 do single_statement()

The initial and post statements are optional:

i := 0
for ; i < 10; {
	i += 1
}

These semicolons can be dropped. This for loop is equivalent to C’s while loop:

i := 0
for i < 10 {
	i += 1
}

If the condition is omitted, this produces an infinite loop:

for {
}

Range-based for loop #

The basic for loop

for i := 0; i < 10; i += 1 {
	fmt.println(i)
}

can also be written

for i in 0..<10 {
	fmt.println(i)
}
// or
for i in 0..=9 {
	fmt.println(i)
}

where a..=b denotes a closed interval [a,b], i.e. the upper limit is inclusive, and a..<b denotes a half-open interval [a,b), i.e. the upper limit is exclusive.

Certain built-in types can be iterated over:

for character in some_string {
	fmt.println(character)
}
for value in some_array {
	fmt.println(value)
}
for value in some_slice {
	fmt.println(value)
}
for value in some_dynamic_array {
	fmt.println(value)
}
for value in some_map {
	fmt.println(value)
}

Alternatively a second index value can be added:

for character, index in some_string {
	fmt.println(index, character)
}
for value, index in some_array {
	fmt.println(index, value)
}
for value, index in some_slice {
	fmt.println(index, value)
}
for value, index in some_dynamic_array {
	fmt.println(index, value)
}
for key, value in some_map {
	fmt.println(key, value)
}

The iterated values are copies and cannot be written to. The following idiom is useful for iterating over a container in a by-reference manner:

for _, i in some_slice {
	some_slice[i] = something
}

Note: When iterating across a string, the characters will be runes and not bytes. for in assumes the string is encoded as UTF-8.

`if` statement #

Odin’s if statements do not need to be surrounded by parentheses ( ) but braces { } or do are required.

if x >= 0 {
	fmt.println("x is positive")
}

Like for, the if statement can start with an initial statement to execute before the condition. Variables declared by the initial statement are only in the scope of that if statement.

if x := foo(); x < 0 {
	fmt.println("x is negative")
}

Variables declared inside an if initial statement are also available to any of the else blocks:

if x := foo(); x < 0 {
	fmt.println("x is negative")
} else if x == 0 {
	fmt.println("x is zero")
} else {
	fmt.println("x is positive")
}

`switch` statement #

A switch statement is another way to write a sequence of if-else statements. In Odin, the default case is denoted as a case without any expression.

package main

import "core:fmt"
import "core:os"

main :: proc() {
	switch arch := ODIN_ARCH; arch {
	case .i386, .wasm32:
		fmt.println("32 bit")
	case .amd64, .wasm64, .arm64:
		fmt.println("64 bit")
	case .Unknown:
		fmt.println("Unknown architecture")
	}
}

Odin’s switch is like the one in C or C++, except that Odin only runs the selected case. This means that a break statement is not needed at the end of each case. Another important difference is that the case values need not be integers nor constants.

To achieve a C-like fall through into the next case block, the keyword fallthrough can be used.

Switch cases are evaluated from top to bottom, stopping when a case succeeds. For example:

switch i {
case 0:
case foo():
}

foo() does not get called if i==0. If all the case values are constants, the compiler may optimize the switch statement into a jump table (like C).

A switch statement without a condition is the same as switch true. This can be used to write a clean and long if-else chain and have the ability to break if needed

switch {
case x < 0:
	fmt.println("x is negative")
case x == 0:
	fmt.println("x is zero")
case:
	fmt.println("x is positive")
}

A switch statement can also use ranges like a range-based loop:

switch c {
case 'A'..'Z', 'a'..'z', '0'..'9':
	fmt.println("c is alphanumeric")
}

switch x {
case 0..<10:
	fmt.println("units")
case 10..<13:
	fmt.println("pre-teens")
case 13..<20:
	fmt.println("teens")
case 20..<30:
	fmt.println("twenties")
}

`#partial switch` #

With enum values:

Foo :: enum {
	A,
	B,
	C,
	D,
}

f := Foo.A
switch f {
case .A: fmt.println("A")
case .B: fmt.println("B")
case .C: fmt.println("C")
case .D: fmt.println("D")
case:    fmt.println("?")
}

#partial switch f {
case .A: fmt.println("A")
case .D: fmt.println("D")
}

With union types (see Type switch statement)

Foo :: union {int, bool}
f: Foo = 123
switch in f {
case int:  fmt.println("int")
case bool: fmt.println("bool")
case:
}

#partial switch in f {
case bool: fmt.println("bool")
}

`defer` statement #

A defer statement defers the execution of a statement until the end of the scope it is in.

The following will print 4 then 234:

package main

import "core:fmt"

main :: proc() {
	x := 123
	defer fmt.println(x)
	{
		defer x = 4
		x = 2
	}
	fmt.println(x)

	x = 234
}

You can defer an entire block too:

{
	defer {
		foo()
		bar()
	}
	defer if cond {
		bar()
	}
}

Defer statements are executed in the reverse order that they were declared:

defer fmt.println("1")
defer fmt.println("2")
defer fmt.println("3")

Will print 3, 2, and then 1.

A real world use case for defer may be something like the following:

f, err := os.open("my_file.txt")
if err != os.ERROR_NONE {
	// handle error
}
defer os.close(f)
// rest of code

In this case, it acts akin to an explicit C++ destructor however, the error handling is basic control flow.

Note: The defer construct in Odin differs from Go’s defer, which is function-exit and relies on a closure stack system.

`when` statement #

The when statement is almost identical to the if statement but with some differences:

Each condition must be a constant expression as a when statement is evaluated at compile time.
The statements within a branch do not create a new scope
The compiler checks the semantics and code only for statements that belong to the first condition that is true
An initial statement is not allowed in a when statement
when statements are allowed at file scope

Example:

when ODIN_ARCH == "386" {
	fmt.println("32 bit")
} else when ODIN_ARCH == "amd64" {
	fmt.println("64 bit")
} else {
	fmt.println("Unsupported architecture")
}

The when statement is very useful for writing platform specific code. This is akin to the #if construct in C’s preprocessor. However, in Odin, it is type checked.

Branch statements #

`break` statement #

A for loop or a switch statement can be left prematurely with a break statement. It leaves the innermost construct, unless a label of a construct is given:

for cond {
	switch {
	case:
		if cond {
			break // break out of the `switch` statement
		}
	}

	break; // break out of the `for` statement
}

loop: for cond1 {
	for cond2 {
		break loop // leaves both loops
	}
}

`continue` statement #

As in many programming languages, a continue statement starts the next iteration of a loop prematurely:

for cond {
	if get_foo() {
		continue
	}
	fmt.println("Hellope")
}

`fallthrough` statement #

fallthrough can be used to explicitly fall through into the next case block:

switch i {
case 0:
	foo()
	fallthrough
case 1:
	bar()
}

Procedures #

In Odin, a procedure is something that can do work, which some languages call functions or methods. A procedure literal in Odin is defined with the proc keyword:

fibonacci :: proc(n: int) -> int {
	switch {
	case n < 1:
		return 0
	case n == 1:
		return 1
	}
	return fibonacci(n-1) + fibonacci(n-2)
}

fmt.println(fibonacci(3))

For more information regarding value declarations in general, please see the Odin FAQ.

Parameters #

Procedures can take zero or many parameters. The following example is a basic procedure that multiplies two integers together:

multiply :: proc(x: int, y: int) -> int {
	return x * y
}
fmt.println(multiply(137, 432))

When two or more consecutive parameters share a type, you can omit the other types from previous names, like with variable declarations. In this example: x: int, y: int can be shortened to x, y: int, for example:

multiply :: proc(x, y: int) -> int {
	return x * y
}
fmt.println(multiply(137, 432))

Continuing the C family tradition, everything in Odin is passed by value. The procedure always gets a copy of the thing that has been passed, as if there was an assignment statement to the procedure parameter.

Passing a pointer value makes a copy of the pointer, not the data it points to. Slices, dynamic arrays, and maps behave like pointers in this case (Internally they are structures that contain values, which include pointers, and the “structure” is passed by value).

Parameters in a procedure body will be mutable, but as they are copies, they will not affect the original values.

Multiple results #

A procedure in Odin can return any number of results. For example:

swap :: proc(x, y: int) -> (int, int) {
	return y, x
}
a, b := swap(1, 2)
fmt.println(a, b) // 2 1

Named results #

Return values in Odin may be named. If so, they are treated as variables defined at the top of the procedure, like input parameters. A return statement without arguments returns the named return value. “Naked” return statements should only be used in short procedures as it reduces clarity when reading.

do_math :: proc(input: int) -> (x, y: int) {
	x = 2*input + 1
	y = 3*input / 5
	return x, y
}
do_math_with_naked_return :: proc(input: int) -> (x, y: int) {
	x = 2*input + 1
	y = 3*input / 5
	return
}

Named arguments #

When calling a procedure, it is not clear in which order parameters might appear. Therefore, the arguments can be named, like a struct literal, to make it clear which argument a parameter is for:

create_window :: proc(title: string, x, y: int, width, height: int, monitor: ^Monitor) -> (^Window, Window_Error) {...}

window, err := create_window(title="Hellope Title", monitor=nil, width=854, height=480, x=0, y=0)

Note: Currently, mixing named and non-named arguments is not allowed. This is subject to change if it is deemed necessary.

Default values #

The create_window procedure may be easier to use if default values are provided, which will be used if they are not specified:

create_window :: proc(title: string, x := 0, y := 0, width := 854, height := 480, monitor: ^Monitor = nil) -> (^Window, Window_Error) {...}

window1, err1 := create_window("Title1")
window2, err2 := create_window(title="Title1", width=640, height=360)

Note: These default values must be compile time known values, such as a constant value or nil (if the type supports it).

Explicit procedure overloading #

Unlike other languages, Odin provides the ability to explicitly overload procedures:

bool_to_string :: proc(b: bool) -> string {...}
int_to_string  :: proc(i: int)  -> string {...}

to_string :: proc{bool_to_string, int_to_string}

Rationale behind explicit overloading #

The design goals of Odin were explicitness and simplicity. Implicit procedure overloading complicates the scoping system. In C++, you cannot nest procedures within procedures, so all procedure look-ups are done at the global scope. In Odin, procedures can be nested within procedures and, as a result, determining which procedure should be used, in the case of implicit overloading, is complex.

Explicit overloading has many advantages:

Explicitness of what is overloaded
Able to refer to the specific procedure if needed
Clear which scope the entity name belongs to
Ability to specialize parametric polymorphic procedures if necessary, which have the same parameter but different bounds (see where clauses)

foo :: proc{
	foo_bar,
	foo_baz,
	foo_baz2,
	another_thing_entirely,
}

Basic types #

Odin’s basic types are:

bool b8 b16 b32 b64 // booleans

// integers
int  i8 i16 i32 i64 i128
uint u8 u16 u32 u64 u128 uintptr

// endian specific integers
i16le i32le i64le i128le u16le u32le u64le u128le // little endian
i16be i32be i64be i128be u16be u32be u64be u128be // big endian

f16 f32 f64 // floating point numbers

// endian specific floating point numbers
f16le f32le f64le // little endian
f16be f32be f64be // big endian

complex32 complex64 complex128 // complex numbers

quaternion64 quaternion128 quaternion256 // quaternion numbers

rune // signed 32 bit integer
	 // represents a Unicode code point
	 // is a distinct type to `i32`

// strings
string cstring

// raw pointer type
rawptr

// runtime type information specific type
typeid
any

The int, uint, and uintptr types are pointer sized. When you need an integer value, you should default to using int unless you have a specific reason to use a sized or unsigned integer type

Note: The Odin string type stores the pointer to the data and the length of the string. cstring is used to interface with foreign libraries written in/for C that use zero-terminated strings.

Zero values #

Variables declared without an explicit initial value are given their zero value.

The zero value is:

0 for numeric and rune types
false for boolean types
"" (the empty string) for strings
nil for pointer, typeid, and any types.

The expression {} can be used for all types to act as a zero type. This is not recommended as it is not clear and if a type has a specific zero value shown above, please prefer that.

Type conversion #

The expression T(v) converts the value v to the type T.

i: int = 123
f: f64 = f64(i)
u: u32 = u32(f)

or with type inference:

i := 123
f := f64(i)
u := u32(f)

Unlike C, assignments between values of a different type require an explicit conversion.

Cast operator #

The cast operator can also be used to do the same thing:

i := 123
f := cast(f64)i
u := cast(u32)f

This is useful is some contexts but has the same semantic meaning.

Transmute operator #

The transmute operator is a bit cast conversion between two types of the same size:

f := f32(123)
u := transmute(u32)f

This is akin to doing the following pointer cast manipulations:

f := f32(123)
u := (^u32)(&f)^

However, transmute does not require taking the address of the value in question, which may not be possible for many expressions.

Untyped types #

In the Odin type system, certain expressions will have an “untyped” type. An untyped type can implicitly convert to a “typed” type. The following are the

Auto cast operation #

The auto_cast operator automatically casts an expression to the destination’s type if possible:

x: f32 = 123
y: int = auto_cast x

Note: This operation is only recommended to be used for prototyping and quick tests. Please do not abuse it.

Built-in constants and values #

There are a few built-in constants and values in Odin which have different uses:

false // untyped boolean constant equivalent to the expression 0!=0
true  // untyped boolean constant equivalent to the expression 0==0
nil   // untyped nil value used for certain values
---   // untyped undefined value used to explicitly not initialize a variable

--- is useful if you want to explicitly not initialize a variable with any default value:

x: int // initialized with its zero value
y: int = --- // uses uninitialized memory

This is the default behaviour in C.

`cstring` type #

The cstring type is a c-style string value, which is zero-terminated. It is equivalent to char const * in C. Its primary purpose is for easy interfacing with C. Please see the foreign system for more information.

A cstring is easily convertible to an Odin string. However, to convert a string to a cstring, it requires allocations if the value is not constant.

str:  string  = "Hellope"
cstr: cstring = "Hellope" // constant literal
cstr2 := string(cstr)     // O(n) conversion as it requires search from the zero-terminator
nstr  := len(str)  // O(1)
ncstr := len(cstr) // O(n)

Advanced types #

Type alias #

You can alias a named type with another name:

My_Int :: int
#assert(My_Int == int)

Distinct types #

A distinct type allows for the creation of a new type with the same underlying semantics.

My_Int :: distinct int
#assert(My_Int != int)

Aggregate types (struct, enum, union) will always be distinct even when named.

Foo :: struct {}
#assert(Foo != struct{})

Fixed arrays #

An array is a simplified fixed length container. Each element in an array has the same type. An array’s index can be any integer, character, or enumeration type.

An array can be constructed like the following:

x := [5]int{1, 2, 3, 4, 5}
for i in 0..=4 {
	fmt.println(x[i])
}

The notation x[i] is used to access the i-th element of x; and 0-index based (like C).

The built-in len proc returns the array’s length.

x: [5]int
#assert(len(x) == 5)

Array access is always bounds checked (at compile-time and at runtime). This can be disabled and enabled at a per block level with the #no_bounds_check and #bounds_check directives, respectively:

#no_bounds_check {
	x[n] = 123 // n could be in or out of range of valid indices
}

#no_bounds_check can be used to improve performance when the bounds are known to not exceed.

Array programming #

Odin’s fixed length arrays support array programming.

Example:

Vector3 :: [3]f32
a := Vector3{1, 4, 9}
b := Vector3{2, 4, 8}
c := a + b  // {3, 8, 17}
d := a * b  // {2, 16, 72}
e := c != d // true

n.b. Odin also supports matrix types.

Swizzle Operations #

a := [3]f32{1, 2, 3}
b := swizzle(a, 2, 1, 0)
assert(b == [3]f32{3, 2, 1})

c := swizzle(a, 0, 0)
assert(c == [2]f32{1, 1})
assert(c == 1)

Vector3 :: distinct [3]f32
a := Vector3{1, 2, 3}
b := Vector3{5, 6, 7}
c := (a * b)/2 + 1
d := c.x + c.y + c.z
fmt.printf("%.1f\n", d) // 22.0

cross :: proc(a, b: Vector3) -> Vector3 {
	i := swizzle(a, 1, 2, 0) * swizzle(b, 2, 0, 1)
	j := swizzle(a, 2, 0, 1) * swizzle(b, 1, 2, 0)
	return i - j
}

cross_shorter :: proc(a, b: Vector3) -> Vector3 {
	i := a.yzx * b.zxy
	j := a.zxy * b.yzx
	return i - j
}

blah :: proc(a: Vector3) -> f32 {
	return a.x + a.y + a.z
}

x := cross(a, b)
fmt.println(x)
fmt.println(blah(x))

Slices #

Slices look similar to arrays however, their length is not known at compile time. The type []T is a slice with elements of type T. In practice, slices are much more common than arrays.

A slice is formed by specifying two indices, a low and high bound, separated by a colon:

a[low : high]

This selects a half-open range which includes the lower element, but excludes the higher element.

fibonaccis := [6]int{0, 1, 1, 2, 3, 5}
s: []int = fibonaccis[1:4] // creates a slice which includes elements 1 through 3
fmt.println(s) // 1, 1, 2

Slices are like references to arrays; they do not store any data, rather they describe a section, or slice, of underlying data.

Internally, a slice stores a pointer to the data and an integer to store the length of the slice.

The built-in len proc returns the array’s length.

x: []int = ...
length_of_x := len(x)

Slice literals #

A slice literal is like an array literal without the length. This is an array literal:

[3]int{1, 6, 3}

This is a slice literal which creates the same array as above, and then creates a slice that references it:

[]int{1, 6, 3}

Slice shorthand #

For the array:

a: [6]int

these slice expressions are equivalent:

a[0:6]
a[:6]
a[0:]
a[:]

Nil slices #

The zero value of a slice is nil. A nil slice has a length of 0 and does not point to any underlying memory. Slices can be compared against nil and nothing else.

s: []int
if s == nil {
	fmt.println("s is nil!")
}

Dynamic arrays #

Dynamic arrays are similar to slices, but their lengths may change during runtime. Dynamic arrays are resizeable and they are allocated using the current context’s allocator.

x: [dynamic]int

Along with the built-in proc len, dynamic arrays also have cap which can used to determine the dynamic array’s current underlying capacity.

Appending to a dynamic array #

It is common to append new elements to a dynamic array; this can be done so with the built-in append proc.

x: [dynamic]int
append(&x, 123)
append(&x, 4, 1, 74, 3) // append multiple values at once

Making and deleting slices and dynamic arrays #

Slices and dynamic arrays can be explicitly allocated with the built-in make proc.

a := make([]int, 6)           // len(a) == 6
b := make([dynamic]int, 6)    // len(b) == 6, cap(b) == 6
c := make([dynamic]int, 0, 6) // len(c) == 0, cap(c) == 6

Slices and dynamic arrays can be deleted with the built-in delete proc.

delete(a)
delete(b)
delete(c)

Note: Slices created with make must be deallocated with delete, whereas a slice literal does not need to be deleted since it is just a slice of an underlying array.

Note: There is not automatic memory management in Odin. Slices may not be allocated using an allocator.

Enumerations #

Enumeration types define a new type whose values consist of the ones specified. The values are ordered, for example:

Direction :: enum{North, East, South, West}

The following holds:

int(Direction.North) == 0
int(Direction.East)  == 1
int(Direction.South) == 2
int(Direction.West)  == 3

Enum fields can be assigned an explicit value:

Foo :: enum {
	A,
	B = 4, // Holes are valid
	C = 7,
	D = 1337,
}

If an enumeration requires a specific size, a backing integer type can be specified. By default, int is used as the backing type for an enumeration.

Foo :: enum u8 {A, B, C} // Foo will only be 8 bits

Odin supports implicit selector expressions for enums:

Foo :: enum {A, B, C}

f: Foo
f = .A

BAR :: bit_set[Foo]{.B, .C}

switch f {
case .A:
	fmt.println("foo")
case .B:
	fmt.println("bar")
case .C:
	fmt.println("baz")
}

using can also be used with an enumeration to bring the fields into the current scope:

main :: proc() {
	Foo :: enum {A, B, C}
	using Foo
	a := A

	using Bar :: enum {X, Y, Z}
	x := X
}

Implicit Selector Expression #

An implicit selector expression is an abbreviated way to access a member of an enumeration, in a context where type inference can determine the implied type. It has the following form:

.member_name

For example:

Direction :: enum{North, East, South, West}
d: Direction
d = Direction.East
d = .East

Note: This is preferred to using an enumeration as using does pollute the current scope.

Bit sets #

The bit_set type models the mathematical notion of a set. A bit_set’s element type can be either an enumeration or a range:

Direction :: enum{North, East, South, West}

Direction_Set :: bit_set[Direction]

Char_Set :: bit_set['A'..'Z']

Number_Set :: bit_set[0..<10] // bit_set[0..=9]

Bit sets are implemented as bit vectors internally for high performance. The zero value of a bit set is either nil or {}.

x: Char_Set
x = {'A', 'B', 'Y'}
y: Direction_Set
y = {.North, .West}

Bit sets support the following operations:

A + B - union of two sets (equivalent to A | B)
A - B - difference of two sets (A without B’s elements) (equivalent to A &~ B)
A & B - intersection of two sets
A | B - union of two sets (equivalent to A + B)
A &~ B - difference of two sets (A without B’s elements) (equivalent to A - B)
A ~ B - symmetric difference (Elements that are in A and B but not both)
A == B - set equality
A != B - set inequality
A <= B - subset relation (A is a subset of B or equal to B)
A < B - strict subset relation (A is a proper subset of B)
A >= B - superset relation (A is a superset of B or equal to B)
A > B - strict superset relation (A is a proper superset of B)
e in A - set membership (A contains element e)
e not_in A - A does not contain element e
incl(&A, elem) - same as A += {elem}
excl(&A, elem) - same as A -= {elem}

Bit sets are often used to denote flags. This is much cleaner than defining integer constants that need to be bitwise or-ed together.

If a bit set requires a specific size, the underlying integer type can be specified:

Char_Set :: bit_set['A'..'Z'; u64];
#assert(size_of(Char_Set) == size_of(u64))

Pointers #

Odin has pointers. A pointer is a memory address of a value. The type ^T is a pointer to a T value. Its zero value is nil.

p: ^int

The & operator takes the address to its operand (if possible):

i := 123;
p := &i;

The ^ operator dereferences the pointer’s underlying value:

fmt.println(p^) // read  i through the pointer p
p^ = 1337;       // write i through the pointer p

Note: C programmers may be used to using * to denote pointers. In Odin, the ^ syntax is borrowed from Pascal. This is to keep the convention of the type on the left and its usage on the right:

p: ^int // ^ on the left
x := p^; // ^ on the right

Note: Unlike C, Odin has no pointer arithmetic. If you need a form of pointer arithmetic, please use the ptr_offset and ptr_sub procedures in the "core:mem" package.

Structs #

A struct is a record type in Odin. It is a collection of fields. Struct fields are accessed by using a dot:

Vector2 :: struct {
	x: f32,
	y: f32,
}
v := Vector2{1, 2}
v.x = 4
fmt.println(v.x)

Struct fields can be accessed through a struct pointer:

v := Vector2{1, 2}
p := &v
p.x = 1335
fmt.println(v)

We could write p^.x, however, it is to nice abstract the ability to not explicitly dereference the pointer. This is very useful when refactoring code to use a pointer rather than a value, and vice versa.

Struct literals #

A struct literal can be denoted by providing the struct’s type followed by {}. A struct literal must either provide all the arguments or none:

Vector3 :: struct {
	x, y, z: f32,
}
v: Vector3
v = Vector3{} // Zero value
v = Vector3{1, 4, 9}

You can list just a subset of the fields if you specify the field by name (the order of the named fields does not matter):

v := Vector3{z=1, y=2}
assert(v.x == 0)
assert(v.y == 2)
assert(v.z == 1)

Struct tags #

Structs can be tagged with different memory layout and alignment requirements:

struct #align 4 {...} // align to 4 bytes
struct #packed {...} // remove padding between fields
struct #raw_union {...} // all fields share the same offset (0). This is the same as C's union

Unions #

A union in Odin is a discriminated union, also known as a tagged union or sum type. The zero value of a union is nil.

Value :: union {
	bool,
	i32,
	f32,
	string,
}
v: Value
v = "Hellope"

// type assert that `v` is a `string` and panic otherwise
s1 := v.(string)

// type assert but with an explicit boolean check. This will not panic
s2, ok := v.(string)

Type switch statement #

A type switch is a construct that allows several type assertions in series. A type switch is like a regular switch statement, but the cases are types (not values). For a union, the only case types allowed are that of the union.

value: Value = ...
switch v in value {
case string:
	#assert(type_of(v) == string)

case bool:
	#assert(type_of(v) == bool)

case i32, f32:
	// This case allows for multiple types, therefore we cannot know which type to use
	// `v` remains the original union value.
	#assert(type_of(v) == Value)
case:
	// Default case
	// In this case, it is `nil`
}

Union tags #

The #no_nil tag can be applied to the union type to state that it does not have a nil value, and the first variant is its default type:

Value :: union #no_nil {bool, string}
v: Value
_, ok := v.(bool)
assert(ok)

This is useful in very limited cases, and if it is added, there must be at least two variants.

Unions also have the #align tag, like structures:

union #align 4 {...} // align to 4 bytes

Maps #

A map maps keys to values. The zero value of a map is nil. A nil map has no keys. The built-in make proc returns an initialized map using the current context, and delete can be used to delete a map.

m := make(map[string]int)
defer delete(m)
m["Bob"] = 2
fmt.println(m["Bob"])

To insert or update an element of a map:

m[key] = elem

To retrieve an element:

elem = m[key]

To remove an element:

delete_key(&m, key)

If an element of a key does not exist, the zero value of the element will be returned. Checking to see if an element exists can be done in two ways:

elem, ok := m[key] // `ok` is true if the element for that key exists

ok := key in m // `ok` is true if the element for that key exists

The first approach is called the “comma ok idiom”.

You can also initialize maps with map literals:

m := map[string]int{
	"Bob" = 2,
	"Chloe" = 5,
}

Procedure type #

A procedure type is internally a pointer to a procedure in memory. nil is the zero value a procedure type.

Examples:

proc(x: int) -> bool
proc(c: proc(x: int) -> bool) -> (i32, f32)

Calling conventions #

Odin supports the following calling conventions:

odin - default convention used for an Odin proc. It is the same as cdecl but passes an implicit context pointer on each call. (Note: This is subject to change)
contextless - This is the same as odin but without the implicit context pointer.
stdcall or std – This is the stdcall convention as specified by Microsoft.
cdecl or c – This is the default calling convention generated of a procedure in C.
fastcall or fast - This is a compiler dependent calling convention.
none - This is a compiler dependent calling convention which will do nothing to parameters.

Most calling conventions exist only to interface with foreign Windows code.

The default calling convention is odin, unless it is within a foreign block, where it is then cdecl.

A procedure type with a different calling convention can be declared like the following:

proc "c" (n: i32, data: rawptr)
proc "contextless" (s: []int)

Procedure types are only compatible with the procedures that have the same calling convention and parameter types.

‘typeid’ type #

A typeid is a unique identifier for an Odin type. This construct is used by the any type to denote what the underlying data’s type is.

a := typeid_of(bool)
i: int = 123
b := typeid_of(type_of(i))

A typeid can be mapped to relevant type information which can be used in applications such as printing types and editing data:

import "core:runtime"

main :: proc() {
	u := u8(123)
	id := typeid_of(type_of(u))
	info: ^runtime.Type_Info
	info = type_info_of(id)
}

‘any’ Type #

An any type can reference any data type. Internally it contains a pointer to the underlying data and its relevant typeid. This is a very useful construct in order to have a runtime type safe printing procedure.

Note: The any value is only valid for as long as the underlying data is still valid. Passing a literal to an any will allocate the literal in the current stack frame.

Note: It is highly recommended that you do not use this unless you know what you are doing. Its primary use is for printing procedures.

Multi Pointers #

Multi-Pointers in Odin are a way to describe foreign (C-like) pointers which act like arrays (pointers that map to multiple items). The type [^]T is a multi-pointer to T value(s). Its zero value is nil.

p: [^]int

What multi-pointers support:

Index (without any bounds checking)
Slicing (bounds checking on if both the low and high operands are given)
Implicit conversions between ^T and [^]T
Implicit conversion to rawptr (like all pointers)

What multi-pointers DO NOT SUPPORT:

Dereferencing (which makes it closer to a slim-slice than a pointer)

The main purpose of this type is to aid with foreign code and act as a way to auto-document functionality and allow for easier transition to Odin code, especially converting pointers into slices.

The following are the rules for indexing and slicing for multi-pointers, and what type they produce depending on the operands given:

x: [^]T = ...

x[i]   -> T
x[:]   -> [^]T
x[i:]  -> [^]T
x[:n]  -> []T
x[i:n] -> []T

Note: The name of mutli-pointers may be subject to change.

SOA Data Types #

Array of Structures (AoS), Structure of Arrays (SoA), and Array of Structures of Arrays (AoSoA) refer to differing ways to arrange a sequence of data records in memory, with regard to interleaving. These are of interest in SIMD and SIMT programming.

SOA Struct Arrays #

Vector3 :: struct {x, y, z: f32}

N :: 2
v_aos: [N]Vector3
v_aos[0].x = 1
v_aos[0].y = 4
v_aos[0].z = 9

fmt.println(len(v_aos))
fmt.println(v_aos[0])
fmt.println(v_aos[0].x)
fmt.println(&v_aos[0].x)

v_aos[1] = {0, 3, 4}
v_aos[1].x = 2
fmt.println(v_aos[1])
fmt.println(v_aos)

v_soa: #soa[N]Vector3

v_soa[0].x = 1
v_soa[0].y = 4
v_soa[0].z = 9


// Same syntax as AOS and treat as if it was an array
fmt.println(len(v_soa))
fmt.println(v_soa[0])
fmt.println(v_soa[0].x)
fmt.println(&v_soa[0].x)
v_soa[1] = {0, 3, 4}
v_soa[1].x = 2
fmt.println(v_soa[1])

// Can use SOA syntax if necessary
v_soa.x[0] = 1
v_soa.y[0] = 4
v_soa.z[0] = 9
fmt.println(v_soa.x[0])

// Same pointer addresses with both syntaxes
assert(&v_soa[0].x == &v_soa.x[0])


// Same fmt printing
fmt.println(v_aos)
fmt.println(v_soa)

Works with arrays of length <= 4 which have the implicit fields xyzw/rgba

Vector3 :: distinct [3]f32

N :: 2
v_aos: [N]Vector3
v_aos[0].x = 1
v_aos[0].y = 4
v_aos[0].z = 9

v_soa: #soa[N]Vector3

v_soa[0].x = 1
v_soa[0].y = 4
v_soa[0].z = 9

SOA Struct Slices and Dynamic Arrays #

Fixed-length SOA types can be sliced to produce SOA slices.

Vector3 :: struct {x: i8, y: i16, z: f32};

N :: 3
v: #soa[N]Vector3
v[0].x = 1
v[0].y = 4
v[0].z = 9

s: #soa[]Vector3
s = v[:]
assert(len(s) == N)
fmt.println(s)
fmt.println(s[0].x)

a := s[1:2]
assert(len(a) == 1)
fmt.println(a)

To be complete with SOA slices, Odin also supports SOA dynamic arrays.

d: #soa[dynamic]Vector3;

append_soa(&d, Vector3{1, 2, 3}, Vector3{4, 5, 9}, Vector3{-4, -4, 3})
fmt.println(d)
fmt.println(len(d))
fmt.println(cap(d))
fmt.println(d[:])

`soa_zip` and `soa_unzip` #

SOA is not just useful for high performance scenarios but also for everyday tasks which are normally only achieveable in higher level languages. soa_zip is a built-in procedure which allows the user to treat multiple slices as if they are part of the same data structures, utilizing the power of SOA.

x := []i32{1, 3, 9}
y := []f32{2, 4, 16}
z := []b32{true, false, true}

// produce an #soa slice with the normal slices passed
s := soa_zip(a=x, b=y, c=z)

// iterate over the #soa slice
for v, i in s {
	fmt.println(v, i) // exactly the same as s[i]
	// NOTE: 'v' is NOT a temporary value but has a specialized addressing mode
	// which means that when accessing v.a etc, it does the correct transformation
	// internally:
	//         s[i].a === s.a[i]
	fmt.println(v.a, v.b, v.c)
}

soa_unzip is a built-in procedure which allows the user to recover the slices from an #soa slice.

// Recover the slices from the #soa slice
a, b, c := soa_unzip(s)
fmt.println(a, b, c)

`matrix` type #

A matrix is a mathematical type built into Odin. It is a regular array of numbers, arranged in rows and columns.

The following represents a matrix that has 2 rows and 3 columns:

m: matrix[2, 3]f32

m = matrix[2, 3]f32{
	1, 9, -13,
	20, 5, -6,
}

Element types of integers, float, and complex numbers are supported by matrices. There is no support for booleans, quaternions, or any compound type.

Indexing a matrix can be used with the matrix indexing syntax This mirrors othe type usages: type on the left, usage on the right.

elem := m[1, 2] // row 1, column 2

Scalars act as if they are scaled identity matrices and can be assigned to matrices as them

b := matrix[2, 2]f32{}
f := f32(3)
b = f

fmt.println("b", b)
fmt.println("b == f", b == f)

Matrices support multiplication between matrices:

a := matrix[2, 3]f32{
	2, 3, 1,
	4, 5, 0,
}

b := matrix[3, 2]f32{
	1, 2,
	3, 4,
	5, 6,
}

fmt.println("a", a)
fmt.println("b", b)

c := a * b
#assert(type_of(c) == matrix[2, 2]f32)
fmt.tprintln("c = a * b", c)

Matrices support multiplication between matrices and arrays:

m := matrix[4, 4]f32{
	1, 2, 3, 4, 
	5, 5, 4, 2, 
	0, 1, 3, 0, 
	0, 1, 4, 1,
}

v := [4]f32{1, 5, 4, 3}

// treating 'v' as a column vector
fmt.println("m * v", m * v)

// treating 'v' as a row vector
fmt.println("v * m", v * m)

// Support with non-square matrices
s := matrix[2, 4]f32{ // [4][2]f32
	2, 4, 3, 1, 
	7, 8, 6, 5, 
}

w := [2]f32{1, 2}
r: [4]f32 = w * s
fmt.println("r", r)

Component-wise operations:

// if the element type supports it
// Not support for '/', '%', or '%%' operations

a := matrix[2, 2]i32{
	1, 2,
	3, 4,
}

b := matrix[2, 2]i32{
	-5,  1,
	 9, -7,
}

c0 := a + b
c1 := a - b
c2 := a & b
c3 := a | b
c4 := a ~ b
c5 := a &~ b

// component-wise multiplication
// since a * b would be a standard matrix multiplication
c6 := hadamard_product(a, b) 

fmt.println("a + b",  c0)
fmt.println("a - b",  c1)
fmt.println("a & b",  c2)
fmt.println("a | b",  c3)
fmt.println("a ~ b",  c4)
fmt.println("a &~ b", c5)
fmt.println("hadamard_product(a, b)", c6)

Submatrix Casting #

Submatrix casting square matrices #

Casting a square matrix to another square matrix with same element type is supported.

If the cast is to a smaller matrix type, the top-left submatrix is taken.
If the cast is to a larger matrix type, the matrix is extended with zeros everywhere and ones in the diagonal for the unfilled elements of the extended matrix.

mat2 :: distinct matrix[2, 2]f32
mat4 :: distinct matrix[4, 4]f32

m2 := mat2{
	1, 3,
	2, 4,
}

m4 := mat4(m2)
assert(m4[2, 2] == 1)
assert(m4[3, 3] == 1)
fmt.printf("m2 %#v\n", m2)
fmt.println("m4", m4)
fmt.println("mat2(m4)", mat2(m4))
assert(mat2(m4) == m2)

b4 := mat4{
	1, 2, 0, 0,
	3, 4, 0, 0,
	5, 0, 6, 0,
	0, 7, 0, 8,
}
fmt.println("b4", matrix_flatten(b4))

Casting non-square matrices #

Casting a matrix to another matrix is allowed as long as they share the same element type and the number of elements (rows*columns). Matrices in Odin are stored in column-major order, which means the casts will preserve this element order.

mat2x4 :: distinct matrix[2, 4]f32
mat4x2 :: distinct matrix[4, 2]f32

x := mat2x4{
	1, 3, 5, 7, 
	2, 4, 6, 8,
}

y := mat4x2(x)
fmt.println("x", x)
fmt.println("y", y)

Technical Information of `matrix` Types #

The internal representation of a matrix in Odin is stored in column-major format e.g. matrix[2, 3]f32 is internally [3][2]f32 (with different a alignment requirement).

Column-major is used in order to utilize (SIMD) vector instructions effectively on modern hardware, if possible.

Unlike normal arrays, matrices try to maximize alignment to allow for the (SIMD) vectorization properties whilst keeping zero padding (either between columns or at the end of the type).

Zero padding is a compromise for use with third-party libraries, instead of optimizing for performance. Padding between columns was not taken even if that would have allowed each column to be loaded individually into a SIMD register with the correct alignment properties.

Currently, matrices are limited to a maximum of 16 elements (rows*columns), and a minimum of 1 element. This is because matrices are stored as values (not a reference type), and thus operations on them will be stored on the stack. Restricting the maximum element count minimizing the possibility of stack overflows.

Built-in Procedures (Compiler Level):

transpose(m) transposes a matrix
outer_product(a, b) takes two array-like data types and returns the outer product of the values in a matrix
hadamard_product(a, b) component-wise multiplication of two matrices of the same type
matrix_flatten(m)
- converts the matrix into a flatten array of elements in column-major order.
conj(x)
- conjugates the elements of a matrix for complex element types only

Built-in Procedures (Runtime Level) (all square matrix procedures):

determinant(m)
adjugate(m)
inverse(m)
inverse_transpose(m)
hermitian_adjoint(m)
matrix_trace(m)
matrix_minor(m)

`using` statement #

using can be used to bring entities declared in a scope/namespace into the current scope. This can be applied to import names, struct fields, procedure fields, and struct values.

import "foo"
bar :: proc() {
	// imports all the exported entities from the `foo` package into this scope
	using foo
}

Using statement with structs #

Let’s take a very simple entity struct:

Vector3 :: struct{x, y, z: f32}
Entity :: struct {
	position: Vector3,
	orientation: quaternion128,
}

It can used like this:

foo :: proc(entity: ^Entity) {
	fmt.println(entity.position.x, entity.position.y, entity.position.z)
}

The entity members can be brought into the procedure scope by using it:

foo :: proc(entity: ^Entity) {
	using entity
	fmt.println(position.x, position.y, position.z)
}

The using can be applied to the parameter directly:

foo :: proc(using entity: ^Entity) {
	fmt.println(position.x, position.y, position.z)
}

It can also be applied to sub-fields:

foo :: proc(entity: ^Entity) {
	using entity.position
	fmt.println(x, y, z)
}

We can also apply the using statement to the struct fields directly, making all the fields of position appear as if they on Entity itself:

Entity :: struct {
	using position: Vector3,
	orientation: quaternion128,
}
foo :: proc(entity: ^Entity) {
	fmt.println(entity.x, entity.y, entity.z)
}

Subtype polymorphism #

It is possible to get subtype polymorphism, similar to inheritance-like functionality in C++, but without the requirement of vtables or unknown struct layout:

foo :: proc(entity: Entity) {
	fmt.println(entity.x, entity.y, entity.z)
}

Frog :: struct {
	ribbit_volume: f32,
	using entity: Entity,
}

frog: Frog
// Both work
frog.x = 123
foo(frog)

Note: using can be applied to arbitrarily many things, which allows the ability to have multiple subtype polymorphism (but also its issues).

Note: using’d fields can still be referred by name.

`or_else` expression #

or_else is an infix binary operator that allows the user to define default values for certain expressions with optional-ok semantics.

m: map[string]int
i: int
ok: bool

if i, ok = m["hellope"]; !ok {
	i = 123
}
// The above can be mapped to 'or_else'
i = m["hellope"] or_else 123

assert(i == 123)

or_else can be used with type assertions too, as they have optional-ok semantics.

v: union{int, f64}
i: int
i = v.(int) or_else 123
i = v.? or_else 123 // Type inference magic
assert(i == 123)

m: Maybe(int)
i = m.? or_else 456
assert(i == 456)

`or_return` operator #

The concept of or_return will work by popping off the end value in a multiple valued expression and checking whether it was not nil or false, and if so, set the end return value to value if possible. If the procedure only has one return value, it will do a simple return. If the procedure had multiple return values, or_return will require that all parameters be named so that the end value could be assigned to by name and then an empty return could be called.

Error :: enum {
	None,
	Something_Bad,
	Something_Worse,
	The_Worst,
	Your_Mum,
};

caller_1 :: proc() -> Error {
	return .None
}

caller_2 :: proc() -> (int, Error) {
	return 123, .None
}
caller_3 :: proc() -> (int, int, Error) {
	return 123, 345, .None
}

foo_1 :: proc() -> Error {
	// This can be a common idiom in many code bases
	n0, err := caller_2()
	if err != nil {
		return err
	}

	// The above idiom can be transformed into the following
	n1 := caller_2() or_return


	// And if the expression is 1-valued, it can be used like this
	caller_1() or_return
	// which is functionally equivalent to
	if err1 := caller_1(); err1 != nil {
		return err1
	}

	// Multiple return values still work with 'or_return' as it only
	// pops off the end value in the multi-valued expression
	n0, n1 = caller_3() or_return

	return .None
}
foo_2 :: proc() -> (n: int, err: Error) {
	// It is more common that your procedure turns multiple values
	// If 'or_return' is used within a procedure multiple parameters (2+),
	// then all the parameters must be named so that the remaining parameters
	// so that a bare 'return' statement can be used

	// This can be a common idiom in many code bases
	x: int
	x, err = caller_2()
	if err != nil {
		return
	}

	// The above idiom can be transformed into the following
	y := caller_2() or_return
	_ = y

	// And if the expression is 1-valued, it can be used like this
	caller_1() or_return

	// which is functionally equivalent to
	if err1 := caller_1(); err1 != nil {
		err = err1
		return
	}

	// If using a non-bare 'return' statement is required, setting the return values
	// using the normal idiom is a better choice and clearer to read.
	if z, zerr := caller_2(); zerr != nil {
		return -345 * z, zerr
	}

	// If the other return values need to be set depending on what the end value is,
	// the 'defer if' idiom is can be used
	defer if err != nil {
		n = -1
	}

	n = 123
	return
}

Implicit context system #

In each scope, there is an implicit value named context. This context variable is local to each scope and is implicitly passed by pointer to any procedure call in that scope (if the procedure has the Odin calling convention).

The main purpose of the implicit context system is for the ability to intercept third-party code and libraries and modify their functionality. One such case is modifying how a library allocates something or logs something. In C, this was usually achieved with the library defining macros which could be overridden so that the user could define what he wanted. However, not many libraries supported this in many languages by default which meant intercepting third-party code to see what it does and to change how it does it was not possible.

main :: proc() {
	c := context // copy the current scope's context

	context.user_index = 456
	{
		context.allocator = my_custom_allocator()
		context.user_index = 123
		supertramp() // the `context` for this scope is implicitly passed to `supertramp`
	}

	// `context` value is local to the scope it is in
	assert(context.user_index == 456)
}

supertramp :: proc() {
	c := context // this `context` is the same as the parent procedure that it was called from
	// From this example, context.user_index == 123
	// A context.allocator is assigned to the return value of `my_custom_allocator()`

	// The memory management procedure use the `context.allocator` by default unless explicitly specified otherwise
	ptr := new(int)
	free(ptr)
}

By default, the context value has default values for its parameters which is decided in the package runtime. These defaults are compiler specific.

To see what the implicit context value contains, please see the definition of the Context struct in package runtime.

Allocators #

Odin is a manual memory management based language. This means that Odin programmers must manage their own memory, allocations, and tracking. To aid with memory management, Odin has huge support for custom allocators, especially through the implicit context system.

The built-in types of dynamic arrays and map both contain a custom allocator. This allocator can be either manually set or the allocator from the current context will be assigned to the data type.

All allocations in Odin are preferably done through allocators. The core library of Odin takes advantage of allocators through the implicit context system. The following call:

ptr := new(int)

is equivalent to this:

ptr := new(int, context.allocator)

The allocator from the context is implicitly assigned as a default parameter to the built-in procedure new.

The implicit context stores two different forms of allocators: context.allocator and context.temp_allocator. Both can be reassigned to any kind of allocator. However, these allocators are to be treated slightly differently.

context.allocator is for “general” allocations, for the subsystem it is used within.
context.temp_allocator is for temporary and short lived allocations, which are to be freed once per cycle/frame/etc.

By default, the context.allocator is a OS heap allocator and the context.temp_allocator is assigned to a scratch allocator (a ring-buffer based allocator).

The following procedures are built-in (and also available in package mem) and are encouraged for managing memory:

alloc - allocates memory of a given size (and alignment) in bytes. The result value is a rawptr.

ptr: rawptr = alloc(64) // allocate 64 bytes aligned to the default alignment
x := alloc(128, 16) // allocate 128 bytes aligned to 16 bytes

i := cast(^int)alloc(size_of(int), align_of(int)) // the equivalent of the `new` procedure explained next

new - allocates a value of the type given. The result value is a pointer to the type given.

ptr := new(int)
ptr^ = 123
x: int = ptr^

new_clone - allocates a clone of the value passed to it. The resulting value of the type will be a pointer to the type of the value passed.

x: int = 123
ptr: int
ptr = new_clone(x)
assert(ptr^ == 123)

make - allocates memory for a backing data structure of either a slice, dynamic array, or map.

slice := make([]int, 65)

dynamic_array_zero_length := make([dynamic]int)
dynamic_array_with_length := make([dynamic]int, 32)
dynamic_array_with_length_and_capacity := make([dynamic]int, 16, 64)

made_map := make(map[string]int)
made_map_with_reservation := make(map[string]int, 64)

free - frees the memory at the pointer given. Note: only free memory with the allocator it was allocated with.

ptr := new(int)
free(ptr)

free_all - frees all the memory of the context’s allocator (or given allocator). Note: not all allocators support this procedure.

free_all()
free_all(context.temp_allocator)
free_all(my_allocator)

delete - deletes the backing memory of a value allocated with make or a string that was allocated through an allocator.

delete(my_slice)
delete(my_dynamic_array)
delete(my_map)
delete(my_string)
delete(my_cstring)

realloc - reallocates a block of memory with a different size. Note: only realloc memory with the same allocator the original pointer was allocated with; not all allocators may support realloc in-place.

ptr := alloc(16)
ptr = realloc(ptr, 32)

To see more uses of allocators, please see package mem in the core library.

For more information regarding memory allocation strategies in general, please see Ginger Bill’s Memory Allocation Strategy series.

Explicit `context` Definition #

Procedures which do not use the "odin" calling convention must explicitly assign the context if something within its body requires it.

explicit_context_definition :: proc "c" () {
	// Try commenting the following statement out below
	context = runtime.default_context()

	fmt.println("\n#explicit context definition")
	dummy_procedure()
}

dummy_procedure :: proc() {
	fmt.println("dummy_procedure")
}

Logging System #

As part of the implicit context system, there is a built-in logging system.

To see more uses of loggers, please see package log in the core library.

Foreign system #

It is sometimes necessary to interface with foreign code, such as a C library. In Odin, this is achieved through the foreign system. You can “import” a library into the code using the same semantics as a normal import declaration:

foreign import kernel32 "system:kernel32.lib"

This foreign import declaration will create a “foreign import name” which can then be used to associate entities within a foreign block.

foreign import kernel32 "system:kernel32.lib"
foreign kernel32 {
	ExitProcess :: proc "stdcall" (exit_code:  u32) ---
}

If a library exports global variables, you can import those into Odin as well.

foreign lib {
	x: i32
}

Foreign procedure declarations have the cdecl/c calling convention by default unless specified otherwise. Due to foreign procedures not having a body declared within this code, you need to append the --- symbol to the end to distinguish it as a procedure literal without a body and not a procedure type.

The attributes system can be used to change specific properties of entities declared within a block:

@(default_calling_convention = "std")
foreign kernel32 {
	@(link_name="GetLastError") get_last_error :: proc() -> i32 ---
}

Available attributes for foreign blocks:

default_calling_convention=<string>
	default calling convention for procedures declared within this foreign block
link_prefix=<string>
	prefix that needs to be appended to the linkage names of the entities except where the link name has been explicitly overridden

Parametric polymorphism #

Parametric polymorphism, commonly referred to as “generics”, allow the user to create a procedure or data that can be written generically so it can handle values in the same manner.

Note: Within the Odin code base and documentation, the nickname “parapoly” is usually used.

Explicit parametric polymorphism #

Explicit parametric polymorphism means that the types of the parameters must be explicitly provided.

Procedures #

To specify that a parameter is “constant”, the parameters name must be prefixed with a dollar sign $. The following example takes two constant parameters to initialize an array of known length:

make_f32_array :: #force_inline proc($N: int, $val: f32) -> (res: [N]f32) {
	for _, i in res {
		res[i] = val*val
	}
	return
}

array := make_f32_array(3, 2)

Types can also be explicitly passed with specifying that the typeid parameter is constant:

my_new :: proc($T: typeid) -> ^T {
	return (^T)(alloc(size_of(T), align_of(T)))
}

ptr := my_new(int)

Data types #

Structures and unions may have polymorphic parameters. The $ prefix is optional for record data types as all parameters must be “constant”. Parapoly struct:

Table_Slot :: struct($Key, $Value: typeid) {
	occupied: bool,
	hash:    u32,
	key:     Key,
	value:   Value,
}
slot: Table_Slot(string, int)

Parapoly union:

Error :: enum {Foo0, Foo1, Foo2}
Param_Union :: union($T: typeid) #no_nil {T, Error}
r: Param_Union(int)
r = 123
r = Error.Foo0

Implicit parametric polymorphism #

Implicit implies that the type of a parameter is inferred from its input. In this case, the dollar sign $ can be placed on the type.

Note: Within the Odin code base and documentation, the name “polymorphic name” is usually used.

Procedures #

foo :: proc($N: $I, $T: typeid) -> (res: [N]T) {
	// `N` is the constant value passed
	// `I` is the type of N
	// `T` is the type passed
	fmt.printf("Generating an array of type %v from the value %v of type %v\n",
			   typeid_of(type_of(res)), N, typeid_of(I))
	for i in 0..<N {
		res[i] = i*i
	}
	return
}

T :: int
array := foo(4, T)
for v, i in array {
	assert(v == T(i*i))
}

Specialization #

In some cases, you may want to specify that a type must be a specialization of a certain type.

// Only allow types that are specializations of a (polymorphic) slice
make_slice :: proc($T: typeid/[]$E, len: int) -> T {
	return make(T, len)
}

Table_Slot :: struct($Key, $Value: typeid) {
	occupied: bool,
	hash:     u32,
	key:      Key,
	value:    Value,
}
Table :: struct($Key, $Value: typeid) {
	count:     int,
	allocator: mem.Allocator,
	slots:     []Table_Slot(Key, Value),
}

// Only allow types that are specializations of `Table`
allocate :: proc(table: ^$T/Table, capacity: int) {
	...
}

// find :: proc(table: ^$T/Table, key: T.Key) -> (T.Value, bool) {
find :: proc(table: ^Table($Key, $Value), key: Key) -> (Value, bool) {
	...
}

`where` clauses #

A bound on polymorphic parameters to a procedure or record can be expressed using a where clause immediately before opening {, rather than at the type’s or constant’s first mention. Additionally, where clauses can apply bounds to arbitrary types, rather than just polymorphic type parameters.

Some cases that a where clause may be useful:

Sanity checks for parameters:

simple_sanity_check :: proc(x: [2]int)
	where len(x) > 1,
		  type_of(x) == [2]int {
	fmt.println(x)
}

Parameter polymorphism checks for procedures:

cross_2d :: proc(a, b: $T/[2]$E) -> E
	where intrinsics.type_is_numeric(E) {
	return a.x*b.y - a.y*b.x
}
cross_3d :: proc(a, b: $T/[3]$E) -> T
	where intrinsics.type_is_numeric(E) {
	x := a.y*b.z - a.z*b.y
	y := a.z*b.x - a.x*b.z
	z := a.x*b.y - a.y*b.x
	return T{x, y, z}
}

a := [2]int{1, 2}
b := [2]int{5, -3}
fmt.println(cross_2d(a, b))

x := [3]f32{1, 4, 9}
y := [3]f32{-5, 0, 3}
fmt.println(cross_3d(x, y))

// Failure case
// i := [2]bool{true, false}
// j := [2]bool{false, true}
// fmt.println(cross_2d(i, j))

Solving disambiguations with polymorphic procedures in a procedure grouping:

foo :: proc(x: [$N]int) -> bool
	where N > 2 {
	fmt.println(#procedure, "was called with the parameter", x)
	return true
}

bar :: proc(x: [$N]int) -> bool
	where 0 < N,
		  N <= 2 {
	fmt.println(#procedure, "was called with the parameter", x)
	return false
}

baz :: proc{foo, bar}

x := [3]int{1, 2, 3}
y := [2]int{4, 9}
ok_x := baz(x)
ok_y := baz(y)
assert(ok_x == true)
assert(ok_y == false)

Restrictions on parametric polymorphic parameters for record types:

Foo :: struct($T: typeid, $N: int)
	where intrinsics.type_is_integer(T),
	      N > 2 {
	x: [N]T,
	y: [N-2]T,
}

T :: i32
N :: 5
f: Foo(T, N)
#assert(size_of(f) == (N+N-2)*size_of(T))

`->` operator (selector call expressions) #

The -> operator is called the selector call expression operator and is extremely useful for call procedures stored in vtables. Component Objective Model (COM) APIs is a greate example of where this kind of thing is extremely useful (such as the Direct3D11 package).

x->y(123)
// is equivalent to
x.y(x, 123)

As the -> operator is effectively syntactic sugar, all of the same semantics still apply, meaning subtyping through using will work still as expected allow for the emulation of type hierarchies.

Useful idioms #

The following are useful idioms which are emergent from the semantics on the language.

Basic idioms #

If-statements with initialization #

if str, ok := value.(string) ok {
	...
} else {
   ...
}

Iterating through slices of structs by value or by reference #

Foo :: struct {
	f: f32,
	i: i32,
}

foos := make([]Foo, num)

// By-value basic ranged-based loop, with implicit indexing
for v, j in foos {
	using v
	fmt.println(i, v, f, i)
}

// Alternative range-based loop, with explicit indexing
for _, j in foos {
	using foo := foos[j] // copy
	fmt.println(j, foo, f, i)
}

// By-reference range-based explicit indexing loop
for _, j in foos {
	using foo := &foos[j] // "reference", changes to `f` or `i` are visible outside this scope
	fmt.println(j, foo, f, i)
}


// By-reference range-based through pointer
for v, j in &foos {
	using v // v is now a variable reference as `foos` was passed by pointer
	fmt.println(j, foo, f, i)
}

‘defer if’ #

defer if cond {
}

Advanced idioms #

Subtype polymorphism with runtime type safe down casting:

Entity :: struct {
	id:   u64,
	name: string,

	variant: union{^Frog},
}

Frog :: struct {
	using entity: Entity,
	volume: f32,
	jump_height: i32,
}


new_entity :: proc($T: typeid) -> ^T {
	e := new(T)
	e.variant = e
	return e
}

entity: ^Entity = new_entity(Frog)
switch e in entity.variant {
case ^Frog:
	fmt.println("Ribbit:", e.volume)
}

Extra information #

More details can be found on the Github wiki for Odin. Some of this information includes:

Introduction #

Hellope! #

Lexical elements and literals #

Comments #

String and character literals #

Escape Characters #

Numbers #

Variable declarations #

Assignment statements #

Constant declarations #

Packages #

import statement #

Exported names #

Control flow statements #

for statement #

Basic for loop #

Range-based for loop #

if statement #

switch statement #

#partial switch #

defer statement #

when statement #

Branch statements #

break statement #

continue statement #

fallthrough statement #

Procedures #

Parameters #

Multiple results #

Named results #

Named arguments #

Default values #

Explicit procedure overloading #

Rationale behind explicit overloading #

Basic types #

Zero values #

Type conversion #

Cast operator #

Transmute operator #

Untyped types #

Auto cast operation #

Built-in constants and values #

cstring type #

Advanced types #

Type alias #

Distinct types #

Fixed arrays #

Array programming #

Swizzle Operations #

Slices #

Slice literals #

Slice shorthand #

Nil slices #

Dynamic arrays #

Appending to a dynamic array #

Making and deleting slices and dynamic arrays #

Enumerations #

Implicit Selector Expression #

Bit sets #

Pointers #

Structs #

Struct literals #

Struct tags #

Unions #

Type switch statement #

Union tags #

Maps #

Procedure type #

Calling conventions #

‘typeid’ type #

‘any’ Type #

Multi Pointers #

SOA Data Types #

SOA Struct Arrays #

SOA Struct Slices and Dynamic Arrays #

soa_zip and soa_unzip #

matrix type #

Submatrix Casting #

Submatrix casting square matrices #

Casting non-square matrices #

`import` statement #

`for` statement #

`if` statement #

`switch` statement #

`#partial switch` #

`defer` statement #

`when` statement #

`break` statement #

`continue` statement #

`fallthrough` statement #

`cstring` type #

`soa_zip` and `soa_unzip` #

`matrix` type #

Technical Information of `matrix` Types #

`using` statement #

`or_else` expression #

`or_return` operator #

Explicit `context` Definition #

`where` clauses #

`->` operator (selector call expressions) #