Odin demo.odin
.
(Split across 3 replies due to forum character count limitations)
#+vet !using-stmt !using-param
package main
import "core:fmt"
import "core:mem"
import "core:os"
import "core:thread"
import "core:time"
import "core:reflect"
import "base:runtime"
import "base:intrinsics"
import "core:math/big"
/*
Odin is a general-purpose programming language with distinct typing built
for high performance, modern systems and data-oriented programming.
Odin is the C alternative for the Joy of Programming.
# Installing Odin
Getting Started - https://odin-lang.org/docs/install/
Instructions for downloading and install the Odin compiler and libraries.
# Learning Odin
Getting Started - https://odin-lang.org/docs/install/
Getting Started with Odin. Downloading, installing, and getting your
first program to compile and run.
Overview of Odin - https://odin-lang.org/docs/overview/
An overview of the Odin programming language and its features.
Frequently Asked Questions (FAQ) - https://odin-lang.org/docs/faq/
Answers to common questions about Odin.
Packages - https://pkg.odin-lang.org/
Documentation for all the official packages part of the
core and vendor library collections.
Nightly Builds - https://odin-lang.org/docs/nightly/
Get the latest nightly builds of Odin.
More Odin Examples - https://github.com/odin-lang/examples
This repository contains examples of how certain things can be accomplished
in idiomatic Odin, allowing you learn its semantics, as well as how to use
parts of the core and vendor package collections.
*/
the_basics :: proc() {
fmt.println("\n# the basics")
{ // The Basics
// os.args holds the path to the current executable and any arguments passed to it.
if len(os.args) == 1 {
fmt.printf("Hellope from %v.\n", os.args[0])
} else if len(os.args) > 2 {
fmt.printf("%v, %v! from %v.\n", os.args[1], os.args[2], os.args[0])
}
// Lexical elements and literals
// A comment
my_integer_variable: int // A comment for documentaton
// Multi-line comments begin with /* and end with */. Multi-line comments can
// also be nested (unlike in C):
/*
You can have any text or code here and
have it be commented.
/*
NOTE: comments can be nested!
*/
*/
// String literals are enclosed in double quotes and character literals in single quotes.
// Special characters are escaped with a backslash \
some_string := "This is a string"
_ = 'A' // unicode codepoint literal
_ = '\n'
_ = "C:\\Windows\\notepad.exe"
// Raw string literals are enclosed with single back ticks
_ = `C:\Windows\notepad.exe`
// The length of a string in bytes can be found using the built-in `len` procedure:
_ = len("Foo")
_ = len(some_string)
// 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, 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 0x. A leading zero does not produce an octal constant (unlike C).
// In Odin, if a numeric 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.
y: int // `y` is typed of type `int`
y = 1 // `1` is an untyped integer literal which can implicitly convert to `int`
z: f64 // `z` is typed of type `f64` (64-bit floating point number)
z = 1 // `1` is an untyped integer literal which can be implicitly converted to `f64`
// No need for any suffixes or decimal places like in other languages
// (with the exception of negative zero, which must be given as `-0.0`)
// CONSTANTS JUST WORK!!!
// Assignment statements
h: int = 123 // declares a new variable `h` with type `int` and assigns a value to it
h = 637 // assigns a new value to `h`
// `=` is the assignment operator
// You can assign multiple variables with it:
a, b := 1, "hello" // declares `a` and `b` and infers the types from the assignments
b, a = "byte", 0
// Note: `:=` is two tokens, `:` and `=`. The following are equivalent,
/*
i: int = 123
i: = 123
i := 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
_ = my_integer_variable
_ = x
}
}
control_flow :: proc() {
fmt.println("\n# control flow")
{ // Control flow
// For loop
// Odin has only one loop statement, the `for` loop
// Basic for loop
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 fmt.print()
// 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, an infinite loop is produced:
for {
break
}
// Range-based for loop
// The basic for loop
for j := 0; j < 10; j += 1 {
fmt.println(j)
}
// can also be written
for j in 0..<10 {
fmt.println(j)
}
for j in 0..=9 {
fmt.println(j)
}
// Certain built-in types can be iterated over
some_string := "Hello, 世界"
for character in some_string { // Strings are assumed to be UTF-8
fmt.println(character)
}
some_array := [3]int{1, 4, 9}
for value in some_array {
fmt.println(value)
}
some_slice := []int{1, 4, 9}
for value in some_slice {
fmt.println(value)
}
some_dynamic_array := [dynamic]int{1, 4, 9}
defer delete(some_dynamic_array)
for value in some_dynamic_array {
fmt.println(value)
}
some_map := map[string]int{"A" = 1, "C" = 9, "B" = 4}
defer delete(some_map)
for key in some_map {
fmt.println(key)
}
// 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 _, idx in some_slice {
some_slice[idx] = (idx+1)*(idx+1)
}
// If statements
x := 123
if x >= 0 {
fmt.println("x is positive")
}
if y := -34; y < 0 {
fmt.println("y is negative")
}
if y := 123; y < 0 {
fmt.println("y is negative")
} else if y == 0 {
fmt.println("y is zero")
} else {
fmt.println("y 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.
#partial switch arch := ODIN_ARCH; arch {
case .i386:
fmt.println("32-bit")
case .amd64:
fmt.println("64-bit")
case: // default
fmt.println("Unsupported architecture")
}
// Odin’s `switch` is like 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.
one_angry_dwarf :: proc() -> int {
fmt.println("one_angry_dwarf was called")
return 1
}
switch j := 0; j {
case 0:
case one_angry_dwarf():
}
// 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 := 'j'; 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")
}
}
{ // 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:
{
x := 123
defer fmt.println(x)
{
defer x = 4
x = 2
}
fmt.println(x)
x = 234
}
// You can defer an entire block too:
{
bar :: proc() {}
defer {
fmt.println("1")
fmt.println("2")
}
cond := false
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.
if false {
f, err := os.open("my_file.txt")
if err != nil {
// handle error
}
defer os.close(f)
// rest of code
}
}
{ // 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 == .i386 {
fmt.println("32 bit")
} else when ODIN_ARCH == .amd64 {
fmt.println("64 bit")
} else {
fmt.println("Unknown 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
cond, cond1, cond2 := false, false, false
one_step :: proc() { fmt.println("one_step") }
beyond :: proc() { fmt.println("beyond") }
// Break statement
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
for cond {
if cond2 {
continue
}
fmt.println("Hellope")
}
// Fallthrough statement
// Odin’s switch is like 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.
// fallthrough can be used to explicitly fall through into the next case block:
switch i := 0; i {
case 0:
one_step()
fallthrough
case 1:
beyond()
}
}
}
named_proc_return_parameters :: proc() {
fmt.println("\n# named proc return parameters")
foo0 :: proc() -> int {
return 123
}
foo1 :: proc() -> (a: int) {
a = 123
return
}
foo2 :: proc() -> (a, b: int) {
// Named return values act like variables within the scope
a = 321
b = 567
return b, a
}
fmt.println("foo0 =", foo0()) // 123
fmt.println("foo1 =", foo1()) // 123
fmt.println("foo2 =", foo2()) // 567 321
}
variadic_procedures :: proc() {
fmt.println("\n# variadic procedures")
sum :: proc(nums: ..int, init_value:= 0) -> (result: int) {
result = init_value
for n in nums {
result += n
}
return
}
fmt.println("sum(()) =", sum())
fmt.println("sum(1, 2) =", sum(1, 2))
fmt.println("sum(1, 2, 3, 4, 5) =", sum(1, 2, 3, 4, 5))
fmt.println("sum(1, 2, 3, 4, 5, init_value = 5) =", sum(1, 2, 3, 4, 5, init_value = 5))
// pass a slice as varargs
odds := []int{1, 3, 5}
fmt.println("odds =", odds)
fmt.println("sum(..odds) =", sum(..odds))
fmt.println("sum(..odds, init_value = 5) =", sum(..odds, init_value = 5))
}
explicit_procedure_overloading :: proc() {
fmt.println("\n# explicit procedure overloading")
add_ints :: proc(a, b: int) -> int {
x := a + b
fmt.println("add_ints", x)
return x
}
add_floats :: proc(a, b: f32) -> f32 {
x := a + b
fmt.println("add_floats", x)
return x
}
add_numbers :: proc(a: int, b: f32, c: u8) -> int {
x := int(a) + int(b) + int(c)
fmt.println("add_numbers", x)
return x
}
add :: proc{add_ints, add_floats, add_numbers}
add(int(1), int(2))
add(f32(1), f32(2))
add(int(1), f32(2), u8(3))
add(1, 2) // untyped ints coerce to int tighter than f32
add(1.0, 2.0) // untyped floats coerce to f32 tighter than int
add(1, 2, 3) // three parameters
// Ambiguous answers
// add(1.0, 2)
// add(1, 2.0)
}
struct_type :: proc() {
fmt.println("\n# struct type")
// 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 nice to 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.
}
{
// 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)
}
{
// Structs can tagged with different memory layout and alignment requirements:
a :: struct #align(4) {} // align to 4 bytes
b :: struct #packed {} // remove padding between fields
c :: struct #raw_union {} // all fields share the same offset (0). This is the same as C's union
}
}
union_type :: proc() {
fmt.println("\n# union type")
{
val: union{int, bool}
val = 137
if i, ok := val.(int); ok {
fmt.println(i)
}
val = true
fmt.println(val)
val = nil
switch v in val {
case int: fmt.println("int", v)
case bool: fmt.println("bool", v)
case: fmt.println("nil")
}
}
{
// There is a duality between `any` and `union`
// An `any` has a pointer to the data and allows for any type (open)
// A `union` has as binary blob to store the data and allows only certain types (closed)
// The following code is with `any` but has the same syntax
val: any
val = 137
if i, ok := val.(int); ok {
fmt.println(i)
}
val = true
fmt.println(val)
val = nil
switch v in val {
case int: fmt.println("int", v)
case bool: fmt.println("bool", v)
case: fmt.println("nil")
}
}
Vector3 :: distinct [3]f32
Quaternion :: distinct quaternion128
// More realistic examples
{
// NOTE(bill): For the above basic examples, you may not have any
// particular use for it. However, my main use for them is not for these
// simple cases. My main use is for hierarchical types. Many prefer
// subtyping, embedding the base data into the derived types. Below is
// an example of this for a basic game Entity.
Entity :: struct {
id: u64,
name: string,
position: Vector3,
orientation: Quaternion,
derived: any,
}
Frog :: struct {
using entity: Entity,
jump_height: f32,
}
Monster :: struct {
using entity: Entity,
is_robot: bool,
is_zombie: bool,
}
// See `parametric_polymorphism` procedure for details
new_entity :: proc($T: typeid) -> ^Entity {
t := new(T)
t.derived = t^
return t
}
entity := new_entity(Monster)
switch e in entity.derived {
case Frog:
fmt.println("Ribbit")
case Monster:
if e.is_robot { fmt.println("Robotic") }
if e.is_zombie { fmt.println("Grrrr!") }
fmt.println("I'm a monster")
}
}
{
// NOTE(bill): A union can be used to achieve something similar. Instead
// of embedding the base data into the derived types, the derived data
// in embedded into the base type. Below is the same example of the
// basic game Entity but using an union.
Entity :: struct {
id: u64,
name: string,
position: Vector3,
orientation: Quaternion,
derived: union {Frog, Monster},
}
Frog :: struct {
using entity: ^Entity,
jump_height: f32,
}
Monster :: struct {
using entity: ^Entity,
is_robot: bool,
is_zombie: bool,
}
// See `parametric_polymorphism` procedure for details
new_entity :: proc($T: typeid) -> ^Entity {
t := new(Entity)
t.derived = T{entity = t}
return t
}
entity := new_entity(Monster)
switch e in entity.derived {
case Frog:
fmt.println("Ribbit")
case Monster:
if e.is_robot { fmt.println("Robotic") }
if e.is_zombie { fmt.println("Grrrr!") }
}
// NOTE(bill): As you can see, the usage code has not changed, only its
// memory layout. Both approaches have their own advantages but they can
// be used together to achieve different results. The subtyping approach
// can allow for a greater control of the memory layout and memory
// allocation, e.g. storing the derivatives together. However, this is
// also its disadvantage. You must either preallocate arrays for each
// derivative separation (which can be easily missed) or preallocate a
// bunch of "raw" memory; determining the maximum size of the derived
// types would require the aid of metaprogramming. Unions solve this
// particular problem as the data is stored with the base data.
// Therefore, it is possible to preallocate, e.g. [100]Entity.
// It should be noted that the union approach can have the same memory
// layout as the any and with the same type restrictions by using a
// pointer type for the derivatives.
/*
Entity :: struct {
...
derived: union{^Frog, ^Monster},
}
Frog :: struct {
using entity: Entity,
...
}
Monster :: struct {
using entity: Entity,
...
}
new_entity :: proc(T: type) -> ^Entity {
t := new(T)
t.derived = t
return t
}
*/
}
}
using_statement :: proc() {
fmt.println("\n# using statement")
// using can 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.
Vector3 :: struct{x, y, z: f32}
{
Entity :: struct {
position: Vector3,
orientation: quaternion128,
}
// It can used like this:
foo0 :: 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:
foo1 :: proc(entity: ^Entity) {
using entity
fmt.println(position.x, position.y, position.z)
}
// The using can be applied to the parameter directly:
foo2 :: proc(using entity: ^Entity) {
fmt.println(position.x, position.y, position.z)
}
// It can also be applied to sub-fields:
foo3 :: 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:
Colour :: struct {r, g, b, a: u8}
Frog :: struct {
ribbit_volume: f32,
using entity: Entity,
colour: Colour,
}
frog: Frog
// Both work
foo(&frog.entity)
foo(&frog)
frog.x = 123
// 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.
}
}
implicit_context_system :: proc() {
fmt.println("\n# 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 is
// not possible.
c := context // copy the current scope's context
context.user_index = 456
{
context.allocator = my_custom_allocator()
context.user_index = 123
what_a_fool_believes() // the `context` for this scope is implicitly passed to `what_a_fool_believes`
}
// `context` value is local to the scope it is in
assert(context.user_index == 456)
what_a_fool_believes :: 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()`
assert(context.user_index == 123)
// The memory management procedure use the `context.allocator` by
// default unless explicitly specified otherwise
china_grove := new(int)
free(china_grove)
_ = c
}
my_custom_allocator :: mem.nil_allocator
_ = c
// By default, the context value has default values for its parameters which is
// decided in the package runtime. What the defaults are are compiler specific.
// To see what the implicit context value contains, please see the following
// definition in package runtime.
}