bevy/crates/bevy_crevice
dependabot[bot] 97012950f9 Update nalgebra requirement from 0.29.0 to 0.30.0 (#3540)
Updates the requirements on [nalgebra](https://github.com/dimforge/nalgebra) to permit the latest version.
<details>
<summary>Changelog</summary>
<p><em>Sourced from <a href="https://github.com/dimforge/nalgebra/blob/dev/CHANGELOG.md">nalgebra's changelog</a>.</em></p>
<blockquote>
<h2>[0.30.0] (02 Jan. 2022)</h2>
<h3>Breaking changes</h3>
<ul>
<li>The <code>Dim</code> trait is now marked as unsafe.</li>
<li>The <code>Matrix::pow</code> and <code>Matrix::pow_mut</code> methods only allow positive integer exponents now. To compute negative
exponents, the user is free to invert the matrix before calling <code>pow</code> with the exponent’s absolute value.</li>
</ul>
<h3>Modified</h3>
<ul>
<li>Use more concise debug impls for matrices and geometric transformation types.</li>
<li>The singular values computed by the SVD are now sorted in increasing order by default. Use <code>SVD::new_unordered</code>
instead to reproduce the older behavior without the sorting overhead.</li>
<li>The <code>UnitDualQuaternion::sclerp</code> method will no longer panic when given two equal rotations.</li>
<li>The <code>Matrix::select_rows</code> and <code>Matrix::select_columns</code> methods no longer require the matrix components to implement
the trait <code>Zero</code>.</li>
<li>The <code>Matrix::pow</code> and <code>Matrix::pow_mut</code> methods will now also work with integer matrices.</li>
</ul>
<h3>Added</h3>
<ul>
<li>Added the conversion trait <code>From&lt;Vec&lt;T&gt;&gt;</code> and method <code>from_vec_storage</code> for <code>RowDVector</code>.</li>
<li>Added implementation of <code>From</code> and <code>Into</code> for converting between <code>nalgebra</code> types and types from
<code>glam 0.18</code>. These can be enabled by enabling the <code>convert-glam018</code> cargo features.</li>
<li>Added the methods <code>Matrix::product</code>, <code>::row_product</code>, <code>::row_product_tr</code>, and <code>::column_product</code> to compute the
product of the components, rows, or columns, of a single matrix or vector.</li>
<li>The <code>Default</code> trait is now implemented for most geometric types: <code>Point</code>, <code>Isometry</code>, <code>Rotation</code>, <code>Similarity</code>,
<code>Transform</code>, <code>UnitComplex</code>, and <code>UnitQuaternion</code>.</li>
<li>Added the <code>Scale</code> geometric type for representing non-uniform scaling.</li>
<li>Added <code>Cholesky::new_with_substitute</code> that will replace diagonal elements by a given constant whenever <code>Cholesky</code>
meets a non-definite-positiveness.</li>
<li>Re-added the conversion from a vector/matrix slice to a static array.</li>
<li>Added the <code>cuda</code> feature that enables the support of <a href="https://github.com/Rust-GPU/Rust-CUDA">rust-cuda</a> for using
<code>nalgebra</code> features with CUDA kernels written in Rust.</li>
<li>Added special-cases implementations for the 2x2 and 3x3 SVDs for better accuracy and performances.</li>
<li>Added the methods <code>Matrix::polar</code>, <code>Matrix::try_polar</code>, and <code>SVD::to_polar</code> to compute the polar decomposition of
a matrix, based on its SVD.</li>
<li><code>nalgebra-sparse</code>: provide constructors for unsorted but otherwise valid data using the CSR format.</li>
<li><code>nalgebra-sparse</code>: added reading MatrixMarked data files to a sparse <code>CooMatrix</code>.</li>
</ul>
<h3>Fixed</h3>
<ul>
<li>Fixed a potential unsoundness with <code>matrix.get(i)</code> and <code>matrix.get_mut(i)</code> where <code>i</code>  is an <code>usize</code>, and <code>matrix</code>
is a matrix slice with non-default strides.</li>
<li>Fixed potential unsoundness with <code>vector.perp</code> where <code>vector</code> isn’t actually a 2D vector as expected.</li>
<li>Fixed linkage issue with <code>nalgebra-lapack</code>: the user of <code>nalgebra-lapack</code> no longer have to add
<code>extern crate lapack-src</code> to their <code>main.rs</code>.</li>
<li>Fixed the <code>no-std</code> build of <code>nalgebra-glm</code>.</li>
<li>Fix the <code>pow</code> and <code>pow_mut</code> functions (the result was incorrect for some exponent values).</li>
</ul>
<h2>[0.29.0]</h2>
<h3>Breaking changes</h3>
<ul>
<li>We updated to the version 0.6 of <code>simba</code>. This means that the trait bounds <code>T: na::RealField</code>, <code>na::ComplexField</code>,
<code>na::SimdRealField</code>, <code>na:SimdComplexField</code> no imply that <code>T: Copy</code> (they only imply that <code>T: Clone</code>). This may affect</li>
</ul>
<!-- raw HTML omitted -->
</blockquote>
<p>... (truncated)</p>
</details>
<details>
<summary>Commits</summary>
<ul>
<li><a href="e8b9c40123"><code>e8b9c40</code></a> Release v0.30.0</li>
<li><a href="c0f8530d5e"><code>c0f8530</code></a> Merge pull request <a href="https://github-redirect.dependabot.com/dimforge/nalgebra/issues/1055">#1055</a> from dimforge/fix-pow</li>
<li><a href="99ac8c4032"><code>99ac8c4</code></a> Merge pull request <a href="https://github-redirect.dependabot.com/dimforge/nalgebra/issues/1050">#1050</a> from metric-space/polar-decomposition-take-2</li>
<li><a href="498d7e3d4c"><code>498d7e3</code></a> Semi-unitary test checks for if rows or cols are orthonomal</li>
<li><a href="ae6fda7dc7"><code>ae6fda7</code></a> Change svd to svd_unordered for the method output to be equal</li>
<li><a href="d806669cc7"><code>d806669</code></a> Fix Matrix::pow and make it work only with positive exponents</li>
<li><a href="fdaf8c0fbe"><code>fdaf8c0</code></a> Add tests for Matrix::pow</li>
<li><a href="67a82c2c88"><code>67a82c2</code></a> Test: minor style fix</li>
<li><a href="8e0ca439c2"><code>8e0ca43</code></a> Use proptest for testing the polar decomposition</li>
<li><a href="cc10b67dd1"><code>cc10b67</code></a> Add Matrix::try_polar that returns Option and make Matrix::polar not return O...</li>
<li>Additional commits viewable in <a href="https://github.com/dimforge/nalgebra/compare/v0.29.0...v0.30.0">compare view</a></li>
</ul>
</details>
<br />


Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting `@dependabot rebase`.

[//]: # (dependabot-automerge-start)
[//]: # (dependabot-automerge-end)

---

<details>
<summary>Dependabot commands and options</summary>
<br />

You can trigger Dependabot actions by commenting on this PR:
- `@dependabot rebase` will rebase this PR
- `@dependabot recreate` will recreate this PR, overwriting any edits that have been made to it
- `@dependabot merge` will merge this PR after your CI passes on it
- `@dependabot squash and merge` will squash and merge this PR after your CI passes on it
- `@dependabot cancel merge` will cancel a previously requested merge and block automerging
- `@dependabot reopen` will reopen this PR if it is closed
- `@dependabot close` will close this PR and stop Dependabot recreating it. You can achieve the same result by closing it manually
- `@dependabot ignore this major version` will close this PR and stop Dependabot creating any more for this major version (unless you reopen the PR or upgrade to it yourself)
- `@dependabot ignore this minor version` will close this PR and stop Dependabot creating any more for this minor version (unless you reopen the PR or upgrade to it yourself)
- `@dependabot ignore this dependency` will close this PR and stop Dependabot creating any more for this dependency (unless you reopen the PR or upgrade to it yourself)


</details>
2022-01-03 08:33:15 +00:00
..
bevy-crevice-derive crevice derive macro: fix path to render_resource when importing from bevy (#3438) 2021-12-26 19:04:02 +00:00
crevice-tests Prepare crevice for vendored release (#3394) 2021-12-23 22:49:12 +00:00
src Prepare crevice for vendored release (#3394) 2021-12-23 22:49:12 +00:00
tests Prepare crevice for vendored release (#3394) 2021-12-23 22:49:12 +00:00
Cargo.toml Update nalgebra requirement from 0.29.0 to 0.30.0 (#3540) 2022-01-03 08:33:15 +00:00
LICENSE-APACHE Prepare crevice for vendored release (#3394) 2021-12-23 22:49:12 +00:00
LICENSE-MIT Prepare crevice for vendored release (#3394) 2021-12-23 22:49:12 +00:00
README.md Prepare crevice for vendored release (#3394) 2021-12-23 22:49:12 +00:00
README.tpl Prepare crevice for vendored release (#3394) 2021-12-23 22:49:12 +00:00

Bevy Crevice

This is a fork of Crevice for Bevy.

For use outside of Bevy, you should consider using Crevice directly.

It was forked to allow better integration in Bevy:

  • Easier derive macro usage, without needing to depend on Crevice directly.
  • Use of unmerged features (as of the fork), like Array Support.
  • Renaming of traits and macros to better match Bevy API.

Crevice

Crevice creates GLSL-compatible versions of types through the power of derive macros. Generated structures provide an as_bytes method to allow safely packing data into buffers for uploading.

Generated structs also implement bytemuck::Zeroable and bytemuck::Pod for use with other libraries.

Crevice is similar to glsl-layout, but supports types from many math crates, can generate GLSL source from structs, and explicitly initializes padding to remove one source of undefined behavior.

Crevice has support for many Rust math libraries via feature flags, and most other math libraries by use of the mint crate. Crevice currently supports:

  • mint 0.5, enabled by default
  • cgmath 0.18, using the cgmath feature
  • nalgebra 0.29, using the nalgebra feature
  • glam 0.20, using the glam feature

PRs are welcome to add or update math libraries to Crevice.

If your math library is not supported, it's possible to define structs using the types from mint and convert your math library's types into mint types. This is supported by most Rust math libraries.

Your math library may require you to turn on a feature flag to get mint support. For example, cgmath requires the "mint" feature to be enabled to allow conversions to and from mint types.

Examples

Single Value

Uploading many types can be done by deriving AsStd140 and using as_std140 and as_bytes to turn the result into bytes.

uniform MAIN {
    mat3 orientation;
    vec3 position;
    float scale;
} main;
use bevy_crevice::std140::{AsStd140, Std140};

#[derive(AsStd140)]
struct MainUniform {
    orientation: mint::ColumnMatrix3<f32>,
    position: mint::Vector3<f32>,
    scale: f32,
}

let value = MainUniform {
    orientation: [
        [1.0, 0.0, 0.0],
        [0.0, 1.0, 0.0],
        [0.0, 0.0, 1.0],
    ].into(),
    position: [1.0, 2.0, 3.0].into(),
    scale: 4.0,
};

let value_std140 = value.as_std140();

upload_data_to_gpu(value_std140.as_bytes());

Sequential Types

More complicated data can be uploaded using the std140 Writer type.

struct PointLight {
    vec3 position;
    vec3 color;
    float brightness;
};

buffer POINT_LIGHTS {
    uint len;
    PointLight[] lights;
} point_lights;
use bevy_crevice::std140::{self, AsStd140};

#[derive(AsStd140)]
struct PointLight {
    position: mint::Vector3<f32>,
    color: mint::Vector3<f32>,
    brightness: f32,
}

let lights = vec![
    PointLight {
        position: [0.0, 1.0, 0.0].into(),
        color: [1.0, 0.0, 0.0].into(),
        brightness: 0.6,
    },
    PointLight {
        position: [0.0, 4.0, 3.0].into(),
        color: [1.0, 1.0, 1.0].into(),
        brightness: 1.0,
    },
];

let target_buffer = map_gpu_buffer_for_write();
let mut writer = std140::Writer::new(target_buffer);

let light_count = lights.len() as u32;
writer.write(&light_count)?;

// Crevice will automatically insert the required padding to align the
// PointLight structure correctly. In this case, there will be 12 bytes of
// padding between the length field and the light list.

writer.write(lights.as_slice())?;

unmap_gpu_buffer();

Features

  • std (default): Enables std::io::Write-based structs.
  • cgmath: Enables support for types from cgmath.
  • nalgebra: Enables support for types from nalgebra.
  • glam: Enables support for types from glam.

Minimum Supported Rust Version (MSRV)

Crevice supports Rust 1.52.1 and newer due to use of new const fn features.

License

Licensed under either of

at your option.

Contribution

Unless you explicitly state otherwise, any contribution intentionally submitted for inclusion in the work by you, as defined in the Apache-2.0 license, shall be dual licensed as above, without any additional terms or conditions.