1664905860
A library for anyone who just wants to get some graphics on the screen, without having to faff about with the technical details of proper graphics libraries. Just create a window, and start drawing to it. Minimal setup, minimal bother, minimal interference with your own code's structure.
Loosely inspired by Processing.
You want some circles on the screen?
let mut pg = Window::new(800, 600, "Circles!");
loop {
pg.circle((100., 100.), 15.);
pg.fill_color(Color::BLUE);
pg.circle((300., 450.), 24.);
pg.update();
}
Or a texture?
let mut pg = Window::new_fullscreen();
let my_texture = pg.load_texture("my_texture.png").unwrap();
loop {
pg.texture((100., 250.), my_texture, 100., 150.);
pg.update();
}
How about some text?
let mut pg = Window::new(720, 480, "Text!");
loop {
pg.font_color((0xEE, 0x44, 0x88));
pg.font_size(30);
pg.text((100., 100.), "Greetings!");
pg.update();
}
Want to press some keys and click some stuff?
let mut pg = Window::new_fullscreen();
loop {
if pg.key_just_pressed(Key::SPACE) {
println!("Action!");
}
if pg.mouse_pressed(Button::LEFT) {
pg.circle(pg.mouse_position(), 16.);
}
pg.update();
}
Since Pronto Graphics uses SFML for rendering, specifically the SFML bindings for Rust, it's prerequisites are identical to the SFML Rust bindings, namely for the SFML library to be installed. This might possibly change in future versions.
# Cargo.toml
[dependencies]
pronto-graphics = "0.4.0"
I'm no experiences open saucer either, so don't hesitate with pull requests :)
Just make sure to explain what you're adding or changing and to adequately add doc comments to anything that will be exposed to the end-user.
hello-world.rs
is getting quite big.|| Docs.rs || Lib.rs || Crates.io ||
Author: Garbaz
Source Code: https://github.com/Garbaz/pronto-graphics
1643176207
Serde
*Serde is a framework for serializing and deserializing Rust data structures efficiently and generically.*
You may be looking for:
#[derive(Serialize, Deserialize)]
Click to show Cargo.toml. Run this code in the playground.
[dependencies]
# The core APIs, including the Serialize and Deserialize traits. Always
# required when using Serde. The "derive" feature is only required when
# using #[derive(Serialize, Deserialize)] to make Serde work with structs
# and enums defined in your crate.
serde = { version = "1.0", features = ["derive"] }
# Each data format lives in its own crate; the sample code below uses JSON
# but you may be using a different one.
serde_json = "1.0"
use serde::{Serialize, Deserialize};
#[derive(Serialize, Deserialize, Debug)]
struct Point {
x: i32,
y: i32,
}
fn main() {
let point = Point { x: 1, y: 2 };
// Convert the Point to a JSON string.
let serialized = serde_json::to_string(&point).unwrap();
// Prints serialized = {"x":1,"y":2}
println!("serialized = {}", serialized);
// Convert the JSON string back to a Point.
let deserialized: Point = serde_json::from_str(&serialized).unwrap();
// Prints deserialized = Point { x: 1, y: 2 }
println!("deserialized = {:?}", deserialized);
}
Serde is one of the most widely used Rust libraries so any place that Rustaceans congregate will be able to help you out. For chat, consider trying the #rust-questions or #rust-beginners channels of the unofficial community Discord (invite: https://discord.gg/rust-lang-community), the #rust-usage or #beginners channels of the official Rust Project Discord (invite: https://discord.gg/rust-lang), or the #general stream in Zulip. For asynchronous, consider the [rust] tag on StackOverflow, the /r/rust subreddit which has a pinned weekly easy questions post, or the Rust Discourse forum. It's acceptable to file a support issue in this repo but they tend not to get as many eyes as any of the above and may get closed without a response after some time.
Download Details:
Author: serde-rs
Source Code: https://github.com/serde-rs/serde
License: View license
1621251999
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1664905860
A library for anyone who just wants to get some graphics on the screen, without having to faff about with the technical details of proper graphics libraries. Just create a window, and start drawing to it. Minimal setup, minimal bother, minimal interference with your own code's structure.
Loosely inspired by Processing.
You want some circles on the screen?
let mut pg = Window::new(800, 600, "Circles!");
loop {
pg.circle((100., 100.), 15.);
pg.fill_color(Color::BLUE);
pg.circle((300., 450.), 24.);
pg.update();
}
Or a texture?
let mut pg = Window::new_fullscreen();
let my_texture = pg.load_texture("my_texture.png").unwrap();
loop {
pg.texture((100., 250.), my_texture, 100., 150.);
pg.update();
}
How about some text?
let mut pg = Window::new(720, 480, "Text!");
loop {
pg.font_color((0xEE, 0x44, 0x88));
pg.font_size(30);
pg.text((100., 100.), "Greetings!");
pg.update();
}
Want to press some keys and click some stuff?
let mut pg = Window::new_fullscreen();
loop {
if pg.key_just_pressed(Key::SPACE) {
println!("Action!");
}
if pg.mouse_pressed(Button::LEFT) {
pg.circle(pg.mouse_position(), 16.);
}
pg.update();
}
Since Pronto Graphics uses SFML for rendering, specifically the SFML bindings for Rust, it's prerequisites are identical to the SFML Rust bindings, namely for the SFML library to be installed. This might possibly change in future versions.
# Cargo.toml
[dependencies]
pronto-graphics = "0.4.0"
I'm no experiences open saucer either, so don't hesitate with pull requests :)
Just make sure to explain what you're adding or changing and to adequately add doc comments to anything that will be exposed to the end-user.
hello-world.rs
is getting quite big.|| Docs.rs || Lib.rs || Crates.io ||
Author: Garbaz
Source Code: https://github.com/Garbaz/pronto-graphics
1658989980
|| Docs.rs || Lib.rs || Crates.io ||
A library for anyone who just wants to get some graphics on the screen, without having to faff about with the technical details of proper graphics libraries. Just create a window, and start drawing to it. Minimal setup, minimal bother, minimal interference with your own code's structure.
Loosely inspired by Processing.
You want some circles on the screen?
let mut pg = Window::new(800, 600, "Circles!");
loop {
pg.circle((100., 100.), 15.);
pg.fill_color(Color::BLUE);
pg.circle((300., 450.), 24.);
pg.update();
}
Or a texture?
let mut pg = Window::new_fullscreen();
let my_texture = pg.load_texture("my_texture.png").unwrap();
loop {
pg.texture((100., 250.), my_texture, 100., 150.);
pg.update();
}
How about some text?
let mut pg = Window::new(720, 480, "Text!");
loop {
pg.font_color((0xEE, 0x44, 0x88));
pg.font_size(30);
pg.text((100., 100.), "Greetings!");
pg.update();
}
Want to press some keys and click some stuff?
let mut pg = Window::new_fullscreen();
loop {
if pg.key_just_pressed(Key::SPACE) {
println!("Action!");
}
if pg.mouse_pressed(Button::LEFT) {
pg.circle(pg.mouse_position(), 16.);
}
pg.update();
}
Since Pronto Graphics uses SFML for rendering, specifically the SFML bindings for Rust, it's prerequisites are identical to the SFML Rust bindings, namely for the SFML library to be installed. This might possibly change in future versions.
# Cargo.toml
[dependencies]
pronto-graphics = "0.4.0"
I'm no experiences open saucer either, so don't hesitate with pull requests :)
Just make sure to explain what you're adding or changing and to adequately add doc comments to anything that will be exposed to the end-user.
hello-world.rs
is getting quite big.Author: Garbaz
Source code: https://github.com/Garbaz/pronto-graphics
License:
1654894080
Serde JSON
Serde is a framework for serializing and deserializing Rust data structures efficiently and generically.
[dependencies]
serde_json = "1.0"
You may be looking for:
#[derive(Serialize, Deserialize)]
JSON is a ubiquitous open-standard format that uses human-readable text to transmit data objects consisting of key-value pairs.
{
"name": "John Doe",
"age": 43,
"address": {
"street": "10 Downing Street",
"city": "London"
},
"phones": [
"+44 1234567",
"+44 2345678"
]
}
There are three common ways that you might find yourself needing to work with JSON data in Rust.
Serde JSON provides efficient, flexible, safe ways of converting data between each of these representations.
Any valid JSON data can be manipulated in the following recursive enum representation. This data structure is serde_json::Value
.
enum Value {
Null,
Bool(bool),
Number(Number),
String(String),
Array(Vec<Value>),
Object(Map<String, Value>),
}
A string of JSON data can be parsed into a serde_json::Value
by the serde_json::from_str
function. There is also from_slice
for parsing from a byte slice &[u8] and from_reader
for parsing from any io::Read
like a File or a TCP stream.
use serde_json::{Result, Value};
fn untyped_example() -> Result<()> {
// Some JSON input data as a &str. Maybe this comes from the user.
let data = r#"
{
"name": "John Doe",
"age": 43,
"phones": [
"+44 1234567",
"+44 2345678"
]
}"#;
// Parse the string of data into serde_json::Value.
let v: Value = serde_json::from_str(data)?;
// Access parts of the data by indexing with square brackets.
println!("Please call {} at the number {}", v["name"], v["phones"][0]);
Ok(())
}
The result of square bracket indexing like v["name"]
is a borrow of the data at that index, so the type is &Value
. A JSON map can be indexed with string keys, while a JSON array can be indexed with integer keys. If the type of the data is not right for the type with which it is being indexed, or if a map does not contain the key being indexed, or if the index into a vector is out of bounds, the returned element is Value::Null
.
When a Value
is printed, it is printed as a JSON string. So in the code above, the output looks like Please call "John Doe" at the number "+44 1234567"
. The quotation marks appear because v["name"]
is a &Value
containing a JSON string and its JSON representation is "John Doe"
. Printing as a plain string without quotation marks involves converting from a JSON string to a Rust string with as_str()
or avoiding the use of Value
as described in the following section.
The Value
representation is sufficient for very basic tasks but can be tedious to work with for anything more significant. Error handling is verbose to implement correctly, for example imagine trying to detect the presence of unrecognized fields in the input data. The compiler is powerless to help you when you make a mistake, for example imagine typoing v["name"]
as v["nmae"]
in one of the dozens of places it is used in your code.
Serde provides a powerful way of mapping JSON data into Rust data structures largely automatically.
use serde::{Deserialize, Serialize};
use serde_json::Result;
#[derive(Serialize, Deserialize)]
struct Person {
name: String,
age: u8,
phones: Vec<String>,
}
fn typed_example() -> Result<()> {
// Some JSON input data as a &str. Maybe this comes from the user.
let data = r#"
{
"name": "John Doe",
"age": 43,
"phones": [
"+44 1234567",
"+44 2345678"
]
}"#;
// Parse the string of data into a Person object. This is exactly the
// same function as the one that produced serde_json::Value above, but
// now we are asking it for a Person as output.
let p: Person = serde_json::from_str(data)?;
// Do things just like with any other Rust data structure.
println!("Please call {} at the number {}", p.name, p.phones[0]);
Ok(())
}
This is the same serde_json::from_str
function as before, but this time we assign the return value to a variable of type Person
so Serde will automatically interpret the input data as a Person
and produce informative error messages if the layout does not conform to what a Person
is expected to look like.
Any type that implements Serde's Deserialize
trait can be deserialized this way. This includes built-in Rust standard library types like Vec<T>
and HashMap<K, V>
, as well as any structs or enums annotated with #[derive(Deserialize)]
.
Once we have p
of type Person
, our IDE and the Rust compiler can help us use it correctly like they do for any other Rust code. The IDE can autocomplete field names to prevent typos, which was impossible in the serde_json::Value
representation. And the Rust compiler can check that when we write p.phones[0]
, then p.phones
is guaranteed to be a Vec<String>
so indexing into it makes sense and produces a String
.
The necessary setup for using Serde's derive macros is explained on the Using derive page of the Serde site.
Serde JSON provides a json!
macro to build serde_json::Value
objects with very natural JSON syntax.
use serde_json::json;
fn main() {
// The type of `john` is `serde_json::Value`
let john = json!({
"name": "John Doe",
"age": 43,
"phones": [
"+44 1234567",
"+44 2345678"
]
});
println!("first phone number: {}", john["phones"][0]);
// Convert to a string of JSON and print it out
println!("{}", john.to_string());
}
The Value::to_string()
function converts a serde_json::Value
into a String
of JSON text.
One neat thing about the json!
macro is that variables and expressions can be interpolated directly into the JSON value as you are building it. Serde will check at compile time that the value you are interpolating is able to be represented as JSON.
let full_name = "John Doe";
let age_last_year = 42;
// The type of `john` is `serde_json::Value`
let john = json!({
"name": full_name,
"age": age_last_year + 1,
"phones": [
format!("+44 {}", random_phone())
]
});
This is amazingly convenient, but we have the problem we had before with Value
: the IDE and Rust compiler cannot help us if we get it wrong. Serde JSON provides a better way of serializing strongly-typed data structures into JSON text.
A data structure can be converted to a JSON string by serde_json::to_string
. There is also serde_json::to_vec
which serializes to a Vec<u8>
and serde_json::to_writer
which serializes to any io::Write
such as a File or a TCP stream.
use serde::{Deserialize, Serialize};
use serde_json::Result;
#[derive(Serialize, Deserialize)]
struct Address {
street: String,
city: String,
}
fn print_an_address() -> Result<()> {
// Some data structure.
let address = Address {
street: "10 Downing Street".to_owned(),
city: "London".to_owned(),
};
// Serialize it to a JSON string.
let j = serde_json::to_string(&address)?;
// Print, write to a file, or send to an HTTP server.
println!("{}", j);
Ok(())
}
Any type that implements Serde's Serialize
trait can be serialized this way. This includes built-in Rust standard library types like Vec<T>
and HashMap<K, V>
, as well as any structs or enums annotated with #[derive(Serialize)]
.
It is fast. You should expect in the ballpark of 500 to 1000 megabytes per second deserialization and 600 to 900 megabytes per second serialization, depending on the characteristics of your data. This is competitive with the fastest C and C++ JSON libraries or even 30% faster for many use cases. Benchmarks live in the serde-rs/json-benchmark repo.
Serde is one of the most widely used Rust libraries, so any place that Rustaceans congregate will be able to help you out. For chat, consider trying the #rust-questions or #rust-beginners channels of the unofficial community Discord (invite: https://discord.gg/rust-lang-community), the #rust-usage or #beginners channels of the official Rust Project Discord (invite: https://discord.gg/rust-lang), or the #general stream in Zulip. For asynchronous, consider the [rust] tag on StackOverflow, the /r/rust subreddit which has a pinned weekly easy questions post, or the Rust Discourse forum. It's acceptable to file a support issue in this repo, but they tend not to get as many eyes as any of the above and may get closed without a response after some time.
As long as there is a memory allocator, it is possible to use serde_json without the rest of the Rust standard library. This is supported on Rust 1.36+. Disable the default "std" feature and enable the "alloc" feature:
[dependencies]
serde_json = { version = "1.0", default-features = false, features = ["alloc"] }
For JSON support in Serde without a memory allocator, please see the serde-json-core
crate.