Awesome  Rust

Awesome Rust

1657075800

Kiss3d | Keep It Simple, Stupid 3d Graphics Engine for Rust

Kiss3d

Keep It Simple, Stupid 3d graphics engine.

This library is born from the frustration that today’s 3D graphics library are either:

  • Too low level: you have to write your own shaders and opening a window takes 8 hours, 300 lines of code and 10L of coffee.
  • High level, but too hard to understand/use: these libraries are made to create beautiful photoreal (or close to it) animations or games. They have many features; too many, in fact, if you just want to draw a few objects on the screen with as little friction as possible.

kiss3d is not designed to be feature-complete or fast. It is designed to let you draw simple geometric figures and play with them with as little friction as possible.

Features

  • WASM compatible.
  • Out of the box, open a window with a default arc-ball camera and a point light.
  • First-person camera available as well, and user-defined cameras are possible.
  • Render boxes, spheres, cones, cylinders, quads and lines simply
  • Change an object's color or texture.
  • Change an object's transform (we use nalgebra to do that).
  • Create basic post-processing effects.

As an example, creating a scene with a red, rotating cube with a light attached to the camera is as simple as (NOTE: this will not compile when targeting WASM):

extern crate kiss3d;
extern crate nalgebra as na;

use na::{Vector3, UnitQuaternion};
use kiss3d::window::Window;
use kiss3d::light::Light;

fn main() {
    let mut window = Window::new("Kiss3d: cube");
    let mut c      = window.add_cube(1.0, 1.0, 1.0);

    c.set_color(1.0, 0.0, 0.0);

    window.set_light(Light::StickToCamera);

    let rot = UnitQuaternion::from_axis_angle(&Vector3::y_axis(), 0.014);

    while window.render() {
        c.prepend_to_local_rotation(&rot);
    }
}

Making the same example compatible with both WASM and native platforms is slightly more complicated because kiss3d must control the render loop:

extern crate kiss3d;
extern crate nalgebra as na;

use kiss3d::light::Light;
use kiss3d::scene::SceneNode;
use kiss3d::window::{State, Window};
use na::{UnitQuaternion, Vector3};

struct AppState {
    c: SceneNode,
    rot: UnitQuaternion<f32>,
}

impl State for AppState {
    fn step(&mut self, _: &mut Window) {
        self.c.prepend_to_local_rotation(&self.rot)
    }
}

fn main() {
    let mut window = Window::new("Kiss3d: wasm example");
    let mut c = window.add_cube(1.0, 1.0, 1.0);

    c.set_color(1.0, 0.0, 0.0);

    window.set_light(Light::StickToCamera);

    let rot = UnitQuaternion::from_axis_angle(&Vector3::y_axis(), 0.014);
    let state = AppState { c, rot };

    window.render_loop(state)
}

Some controls are handled by default by the engine (they can be overridden by the user):

  • scroll: zoom in / zoom out.
  • left click + drag: look around.
  • right click + drag: translate the view point.
  • enter: look at the origin (0.0, 0.0, 0.0).

Compilation

You will need the last stable build of the rust compiler and the official package manager: cargo.

Simply add the following to your Cargo.toml file:

[dependencies]
kiss3d = "0.32"

Note: If your project already uses nalgebra, you'll need the same version used by kiss3d, or you may run into compatibility issues.

Contributions

I’d love to see people improving this library for their own needs. However, keep in mind that kiss3d is KISS. One-liner features (from the user point of view) are preferred.

Acknowledgements

Thanks to all the Rustaceans for their help, and their OpenGL bindings.

Download Details:
Author: sebcrozet
Source Code: https://github.com/sebcrozet/kiss3d
License: BSD-3-Clause license

#rust #gamedev

What is GEEK

Buddha Community

Kiss3d | Keep It Simple, Stupid 3d Graphics Engine for Rust
Awesome  Rust

Awesome Rust

1657075800

Kiss3d | Keep It Simple, Stupid 3d Graphics Engine for Rust

Kiss3d

Keep It Simple, Stupid 3d graphics engine.

This library is born from the frustration that today’s 3D graphics library are either:

  • Too low level: you have to write your own shaders and opening a window takes 8 hours, 300 lines of code and 10L of coffee.
  • High level, but too hard to understand/use: these libraries are made to create beautiful photoreal (or close to it) animations or games. They have many features; too many, in fact, if you just want to draw a few objects on the screen with as little friction as possible.

kiss3d is not designed to be feature-complete or fast. It is designed to let you draw simple geometric figures and play with them with as little friction as possible.

Features

  • WASM compatible.
  • Out of the box, open a window with a default arc-ball camera and a point light.
  • First-person camera available as well, and user-defined cameras are possible.
  • Render boxes, spheres, cones, cylinders, quads and lines simply
  • Change an object's color or texture.
  • Change an object's transform (we use nalgebra to do that).
  • Create basic post-processing effects.

As an example, creating a scene with a red, rotating cube with a light attached to the camera is as simple as (NOTE: this will not compile when targeting WASM):

extern crate kiss3d;
extern crate nalgebra as na;

use na::{Vector3, UnitQuaternion};
use kiss3d::window::Window;
use kiss3d::light::Light;

fn main() {
    let mut window = Window::new("Kiss3d: cube");
    let mut c      = window.add_cube(1.0, 1.0, 1.0);

    c.set_color(1.0, 0.0, 0.0);

    window.set_light(Light::StickToCamera);

    let rot = UnitQuaternion::from_axis_angle(&Vector3::y_axis(), 0.014);

    while window.render() {
        c.prepend_to_local_rotation(&rot);
    }
}

Making the same example compatible with both WASM and native platforms is slightly more complicated because kiss3d must control the render loop:

extern crate kiss3d;
extern crate nalgebra as na;

use kiss3d::light::Light;
use kiss3d::scene::SceneNode;
use kiss3d::window::{State, Window};
use na::{UnitQuaternion, Vector3};

struct AppState {
    c: SceneNode,
    rot: UnitQuaternion<f32>,
}

impl State for AppState {
    fn step(&mut self, _: &mut Window) {
        self.c.prepend_to_local_rotation(&self.rot)
    }
}

fn main() {
    let mut window = Window::new("Kiss3d: wasm example");
    let mut c = window.add_cube(1.0, 1.0, 1.0);

    c.set_color(1.0, 0.0, 0.0);

    window.set_light(Light::StickToCamera);

    let rot = UnitQuaternion::from_axis_angle(&Vector3::y_axis(), 0.014);
    let state = AppState { c, rot };

    window.render_loop(state)
}

Some controls are handled by default by the engine (they can be overridden by the user):

  • scroll: zoom in / zoom out.
  • left click + drag: look around.
  • right click + drag: translate the view point.
  • enter: look at the origin (0.0, 0.0, 0.0).

Compilation

You will need the last stable build of the rust compiler and the official package manager: cargo.

Simply add the following to your Cargo.toml file:

[dependencies]
kiss3d = "0.32"

Note: If your project already uses nalgebra, you'll need the same version used by kiss3d, or you may run into compatibility issues.

Contributions

I’d love to see people improving this library for their own needs. However, keep in mind that kiss3d is KISS. One-liner features (from the user point of view) are preferred.

Acknowledgements

Thanks to all the Rustaceans for their help, and their OpenGL bindings.

Download Details:
Author: sebcrozet
Source Code: https://github.com/sebcrozet/kiss3d
License: BSD-3-Clause license

#rust #gamedev

Serde Rust: Serialization Framework for Rust

Serde

*Serde is a framework for serializing and deserializing Rust data structures efficiently and generically.*

You may be looking for:

Serde in action

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);
}

Getting help

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

#rust  #rustlang 

Top-Notch 3d Design Services | 3d Printing Prototype Service

3D Design Service Provider

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Awesome  Rust

Awesome Rust

1654894080

Serde JSON: JSON Support for Serde Framework

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:

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.

  • As text data. An unprocessed string of JSON data that you receive on an HTTP endpoint, read from a file, or prepare to send to a remote server.
  • As an untyped or loosely typed representation. Maybe you want to check that some JSON data is valid before passing it on, but without knowing the structure of what it contains. Or you want to do very basic manipulations like insert a key in a particular spot.
  • As a strongly typed Rust data structure. When you expect all or most of your data to conform to a particular structure and want to get real work done without JSON's loosey-goosey nature tripping you up.

Serde JSON provides efficient, flexible, safe ways of converting data between each of these representations.

Operating on untyped JSON values

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.

Parsing JSON as strongly typed data structures

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.

Constructing JSON values

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.

Creating JSON by serializing data structures

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)].

Performance

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.

Getting help

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.

No-std support

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.

Link: https://crates.io/crates/serde_json

#rust  #rustlang  #encode   #json 

Rust Lang Course For Beginner In 2021: Guessing Game

 What we learn in this chapter:
- Rust number types and their default
- First exposure to #Rust modules and the std::io module to read input from the terminal
- Rust Variable Shadowing
- Rust Loop keyword
- Rust if/else
- First exposure to #Rust match keyword

=== Content:
00:00 - Intro & Setup
02:11 - The Plan
03:04 - Variable Secret
04:03 - Number Types
05:45 - Mutability recap
06:22 - Ask the user
07:45 - First intro to module std::io
08:29 - Rust naming conventions
09:22 - Read user input io:stdin().read_line(&mut guess)
12:46 - Break & Understand
14:20 - Parse string to number
17:10 - Variable Shadowing
18:46 - If / Else - You Win, You Loose
19:28 - Loop
20:38 - Match
23:19 - Random with rand
26:35 - Run it all
27:09 - Conclusion and next episode

#rust