From 8752e2ec76d5a9a20e1700dc08da4842a382e2ca Mon Sep 17 00:00:00 2001 From: slimsag Date: Sun, 24 Nov 2024 04:10:36 +0000 Subject: [PATCH] deploy: ec5115f4ec118fad72e3f5c401afe8aedf698b4c --- docs/getting-started/index.html | 2 +- docs/gpu/errors/index.html | 2 +- docs/gpu/index.html | 2 +- docs/gpu/memory/index.html | 2 +- docs/index.html | 2 +- docs/math/coordinate-system/index.html | 2 +- docs/math/index.html | 2 +- docs/math/matrix-storage/index.html | 2 +- .../traversing-coordinate-systems/index.html | 2 +- docs/modularity/index.html | 2 +- docs/nominated-zig/index.html | 2 +- docs/object/index.html | 6 ++ docs/object/index.xml | 6 ++ docs/object/modules/index.html | 40 +++++++++ docs/object/objects/index.html | 54 +++++++++++++ docs/object/relations/index.html | 6 ++ docs/object/systems/index.html | 76 ++++++++++++++++++ docs/roadmap/index.html | 2 +- docs/stdlib/index.html | 2 +- docs/zig-version/index.html | 2 +- index.xml | 7 +- ...62022_43bdea261f4b6b594d57145704837e28.png | Bin 0 -> 122573 bytes ...62022_7669835120a60899519d062100ed5a98.png | Bin 0 -> 126197 bytes ...62022_94437dfacb78b3e74accbad56f478450.png | Bin 0 -> 118956 bytes ...62022_e0c44b4f5cad4bbd1fed651d3351401c.png | Bin 0 -> 112610 bytes ...62022_f363038d50344398b54fe05e9adad3e6.png | Bin 0 -> 120565 bytes sitemap.xml | 2 +- 27 files changed, 209 insertions(+), 16 deletions(-) create mode 100644 docs/object/index.html create mode 100644 docs/object/index.xml create mode 100644 docs/object/modules/index.html create mode 100644 docs/object/objects/index.html create mode 100644 docs/object/relations/index.html create mode 100644 docs/object/systems/index.html create mode 100644 opengraph/template_hu102e162f47cb7d8ae9eb284939698b9d_62022_43bdea261f4b6b594d57145704837e28.png create mode 100644 opengraph/template_hu102e162f47cb7d8ae9eb284939698b9d_62022_7669835120a60899519d062100ed5a98.png create mode 100644 opengraph/template_hu102e162f47cb7d8ae9eb284939698b9d_62022_94437dfacb78b3e74accbad56f478450.png create mode 100644 opengraph/template_hu102e162f47cb7d8ae9eb284939698b9d_62022_e0c44b4f5cad4bbd1fed651d3351401c.png create mode 100644 opengraph/template_hu102e162f47cb7d8ae9eb284939698b9d_62022_f363038d50344398b54fe05e9adad3e6.png diff --git a/docs/getting-started/index.html b/docs/getting-started/index.html index 4349315..36cbfef 100644 --- a/docs/getting-started/index.html +++ b/docs/getting-started/index.html @@ -3,4 +3,4 @@ GitHub Discord
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GPU error handling

Coming soon.

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GPU error handling

Coming soon.

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GPU overview

Mach is developing it successor to WebGPU, known as sysgpu.

Stay tuned or follow development for more information.

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GPU overview

Mach is developing it successor to WebGPU, known as sysgpu.

Stay tuned or follow development for more information.

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GPU memory management

Coming soon.

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GPU memory management

Coming soon.

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Game engine & graphics toolkit

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Game engine & graphics toolkit

Experimental

As you look through the docs, know that Mach is experimental and incomplete.

We’re planning a fully-fledged set of deeply integrated tools, a proper editor, the whole deal-we’re not kidding around here-and part of this means that the current APIs are likely to change. Some parts of Mach are more or less stable than others.

Ways you can use Mach

Mach is modular and can be used in a few different ways: as 'a standard library' of Zig gamedev modules, as an alternative to the classic GLFW/SDL/Raylib/etc, or as a full engine similar to Unreal/Unity/Godot.

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Coordinate system

This page briefly covers Mach’s coordinate systems; then it delves into traversing coordinate systems explaining at a high-level (and with very minimal maths) how e.g. a polygon in a 3D model in the scene goes through a bunch of coordinate system transforms before finally ending up as a pixel on the screen.

You don’t have to read this whole page, but it might be worth skimming and taking a look at the diagrams!

World space

3D models and 2D sprites are said to exist in world space, Mach uses a ‘+Y up, left-handed’ coordinate system to represent objects in space. To visualize it, imagine your own eyes are the camera. Hold your left hand out in front of you in a thumbs-up pose, as if you were holding a stick:

  • X goes through the back side of your palm, towards your fingernails
  • Y goes through the bottom of your hand towards the tip of your thumb
  • Z goes through your eyes and towards your thumb
  • Positive rotation values follow the direction of your fingers curled around the stick (any axis)

Quick reference

WhatCoordinate system
World space+Y up, left-handed
Texture coordinates+Y down; (0, 0) is at the top-left corner and the first texel in memory address order. (1, 1) is the last texel in memory address order.
Framebuffer coordinates+Y down; (0, 0) is at the top-left corner
Normalized device coordinates (NDC)+Y up; (-1, -1) is at the bottom-left corner

Mach vs. other software

If you are familiar with other software / APIs, the following comparison tables may be helpful:

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Coordinate system

This page briefly covers Mach’s coordinate systems; then it delves into traversing coordinate systems explaining at a high-level (and with very minimal maths) how e.g. a polygon in a 3D model in the scene goes through a bunch of coordinate system transforms before finally ending up as a pixel on the screen.

You don’t have to read this whole page, but it might be worth skimming and taking a look at the diagrams!

World space

3D models and 2D sprites are said to exist in world space, Mach uses a ‘+Y up, left-handed’ coordinate system to represent objects in space. To visualize it, imagine your own eyes are the camera. Hold your left hand out in front of you in a thumbs-up pose, as if you were holding a stick:

  • X goes through the back side of your palm, towards your fingernails
  • Y goes through the bottom of your hand towards the tip of your thumb
  • Z goes through your eyes and towards your thumb
  • Positive rotation values follow the direction of your fingers curled around the stick (any axis)

Quick reference

WhatCoordinate system
World space+Y up, left-handed
Texture coordinates+Y down; (0, 0) is at the top-left corner and the first texel in memory address order. (1, 1) is the last texel in memory address order.
Framebuffer coordinates+Y down; (0, 0) is at the top-left corner
Normalized device coordinates (NDC)+Y up; (-1, -1) is at the bottom-left corner

Mach vs. other software

If you are familiar with other software / APIs, the following comparison tables may be helpful:

Traversing coordinate systems

Ever wondered how a vertex on a 3D model in a scene ultimately ends up on the 2D screen? We’ll walk through the various coordinate system transformations involved in that in the next section: traversing coordinate systems

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A different approach

Other game math libraries often provide numerous options, e.g. providing left-handed and right-handed variants of all functions for working with different coordinate systems. They provide functionality to create projection matrices compatible with many different graphics APIs, where depth values are not the same, etc.

mach.math provides a more opinionated API, with less options and more ground-truths: we bless the use of Mach’s coordinate system, provide fewer variants/options, and generally try to steer you in the right direction for problem solving.

If you’re a seasoned game developer, this probably doesn’t really matter to you. But if you’re just starting out and learning, our hope is this approach is quite helpful in nudging you in the right direction!

Matrices

  • Column-major matrix storage
  • Column-vectors (i.e. right-associative multiplication, matrix * vector = vector)

The benefit of using this “OpenGL-style” matrix is that it matches the conventions accepted by the scientific community, it’s what you’ll find in linear algebra textbooks. It also matches WebGPU, Vulkan, Unity3D, etc. It does NOT match DirectX-style which e.g. Unreal Engine uses.

Note: many people will say “row major” or “column major” and implicitly mean three or more different concepts; consider reading the matrix storage docs.

Coordinate system (+Y up, left-handed)

  • Normalized Device coordinates: +Y up; (-1, -1) is at the bottom-left corner.
  • Framebuffer coordinates: +Y down; (0, 0) is at the top-left corner.
  • Texture coordinates: +Y down; (0, 0) is at the top-left corner.

This coordinate system is consistent with WebGPU, Metal, DirectX, and Unity (NDC only.)

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A different approach

Other game math libraries often provide numerous options, e.g. providing left-handed and right-handed variants of all functions for working with different coordinate systems. They provide functionality to create projection matrices compatible with many different graphics APIs, where depth values are not the same, etc.

mach.math provides a more opinionated API, with less options and more ground-truths: we bless the use of Mach’s coordinate system, provide fewer variants/options, and generally try to steer you in the right direction for problem solving.

If you’re a seasoned game developer, this probably doesn’t really matter to you. But if you’re just starting out and learning, our hope is this approach is quite helpful in nudging you in the right direction!

Matrices

  • Column-major matrix storage
  • Column-vectors (i.e. right-associative multiplication, matrix * vector = vector)

The benefit of using this “OpenGL-style” matrix is that it matches the conventions accepted by the scientific community, it’s what you’ll find in linear algebra textbooks. It also matches WebGPU, Vulkan, Unity3D, etc. It does NOT match DirectX-style which e.g. Unreal Engine uses.

Note: many people will say “row major” or “column major” and implicitly mean three or more different concepts; consider reading the matrix storage docs.

Coordinate system (+Y up, left-handed)

  • Normalized Device coordinates: +Y up; (-1, -1) is at the bottom-left corner.
  • Framebuffer coordinates: +Y down; (0, 0) is at the top-left corner.
  • Texture coordinates: +Y down; (0, 0) is at the top-left corner.

This coordinate system is consistent with WebGPU, Metal, DirectX, and Unity (NDC only.)

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Matrix storage

Matrices in Mach use:

  • Column-major matrix storage
  • Column-vectors (i.e. right-associative multiplication, matrix * vector = vector)

The benefit of using this “OpenGL-style” matrix is that it matches the conventions accepted by the scientific community, it’s what you’ll find in linear algebra textbooks. It also matches WebGPU, Vulkan, Unity3D, etc. It does NOT match DirectX-style which e.g. Unreal Engine uses.

Note: many people will say “row major” or “column major” and implicitly mean three or more different concepts; to avoid confusion we’ll go over this in more depth below.

Should you read the rest of this page?

Before we continue, it’s worth asking if you want to read the rest of this page. If you’re keen to understand how things work behind the scenes, and why they work this way, then read on! If you just want to get started making a game, this is probably the most dense topic in the Mach documentation, so maybe just keep a link to it in your back pocket.

Mathematical matrix order: row-major, column-vectors

Mathematically, a matrix is defined as m x n, where m is the number of rows (horizontals) and n is the number of columns (verticals.) For example, this 4x4 matrix where a10 (zero-indexed) represents the element at the second row and first column of the matrix:

|a00 a01 a02 a03|
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Matrix storage

Matrices in Mach use:

  • Column-major matrix storage
  • Column-vectors (i.e. right-associative multiplication, matrix * vector = vector)

The benefit of using this “OpenGL-style” matrix is that it matches the conventions accepted by the scientific community, it’s what you’ll find in linear algebra textbooks. It also matches WebGPU, Vulkan, Unity3D, etc. It does NOT match DirectX-style which e.g. Unreal Engine uses.

Note: many people will say “row major” or “column major” and implicitly mean three or more different concepts; to avoid confusion we’ll go over this in more depth below.

Should you read the rest of this page?

Before we continue, it’s worth asking if you want to read the rest of this page. If you’re keen to understand how things work behind the scenes, and why they work this way, then read on! If you just want to get started making a game, this is probably the most dense topic in the Mach documentation, so maybe just keep a link to it in your back pocket.

Mathematical matrix order: row-major, column-vectors

Mathematically, a matrix is defined as m x n, where m is the number of rows (horizontals) and n is the number of columns (verticals.) For example, this 4x4 matrix where a10 (zero-indexed) represents the element at the second row and first column of the matrix:

|a00 a01 a02 a03|
 |a10 a11 a12 a13|
 |a20 a21 a22 a23|
 |a30 a31 a32 a33|
diff --git a/docs/math/traversing-coordinate-systems/index.html b/docs/math/traversing-coordinate-systems/index.html
index bcce30d..78e7eff 100644
--- a/docs/math/traversing-coordinate-systems/index.html
+++ b/docs/math/traversing-coordinate-systems/index.html
@@ -3,4 +3,4 @@
 GitHub
 Discord
 

Traversing coordinate systems

Imagine you’ve got a 3D model in a scene, a virtual camera is viewing it. But how do the vertices of the model ultimately end up on the 2D screen? We’ll walk through the various coordinate system transformations involved in that in this section, with lots of diagrams and minimal maths!

Cartesian coordinate system transformations

First we need to know what a coordinate system transformation is. Imagine a typical 3D grid like you’d find in a 3D model editor, such as Blender. That’s a 3D cartesian coordinate system - the linear axis in X, Y, and Z dimensions.

Pick any point on that grid. Then imagine a second grid / coordinate system, overlayed exactly with the other one. But this one you can move, rotate, scale, etc.! As you do, the point you chose on the first grid remains in the same location.. but in the 2nd grid its location changes depending on how you move/rotate/scale the grid!

The fact that we can take a point anywhere in the first grid, and determine where it would be in the 2nd grid which is moved/rotated/scaled, is a coordinate system transformation and is what a matrix transformation does. Keep this in mind as you think about the transformations we describe later.

Model -> World space

Now that we understand what a coordinate system transformation is, we can begin talking about the first one we need to perform: Model -> World space. Imagine a vertex on a 3D model: the point of a diamond floating in front of a monkey

This vertex is said to be in the local space of the model, or just ‘model space’ for short. We get to decide what unit of measurement is used, as long as we’re consistent everywhere - so let’s say our unit is meters. The position of this vertex at the tip of the monkey’s hand is (0, 0, 1) in model space: ‘one meter in front’ of the monkey, from the perspective of the monkey. It doesn’t matter where the monkey is located in the world, that vertex is always at (0, 0, 1) in model space because it is from the perspective of the monkey.

The Model matrix describes how to transform a point in model space into world space, so that we can say ’the monkey’s finger tip’ is at a specific point in the world, rather than being relative to the monkey’s location/rotation/scale/etc.

World -> View space

Next up, we need to convert from world space into view space. Just like how model space is relative to the model, view space is relative to the viewer (i.e. the virtual camera of the scene) - this lets us say “this vertex in the 3D world is at (x, y, z) relative to the camera/viewer.

This is like the opposite of what we just did above: going from Wrench’s local model space to world space. Instead, we’re going from world space to the camera’s local space.

View -> Clip space

Now that we know where the point is in view space / relative to the camera, we need to transform the vertex into clip space. A projection matrix is used for this, taking 3D points relative to the viewer, and transforming them into a normalized clip space bounding box.

Notice how the view frustum above represents a sort of virtual camera lens, with the far plane being much larger than the near plane. The shape of the view frustum is what makes our geometry look like it is in 3D space, objects further away from will appear smaller and objects closer to the camera will appear larger. For 2D games, an orthographic projection matrix is used instead of the ‘warped’ perspective projection matrix shown above.

Also note that the view frustum is where we take into account the aspect ratio and field-of-view. For 2D games, the orthographic projection matrix often e.g. determine how many world-space units map to a single fragment/pixel on screen.

The clip space volume / bounding box on the right is a concept defined by the underlying graphics APIs and hardware. When a vertex shader runs on every vertex of a 2D/3D model, its goal is to output the position of the vertex in clip space. Unlike our other 3D coordinate spaces so far, clip space is a 4D homegenous space - also known as a projective space.

Projective geometry

In all our other 3D coordinate systems so far, we’ve been thinking in terms of Euclidean geometry with [x, y, z] points. But in clip space, we need to think in terms of Projective geometry instead with [x, y, z, w], where 𝑊 acts basically as a scaling transformation for the 3D coordinate - which will be used in our next transformation.

The above diagram shows 2D projective space, with [x, y, 𝑊] - but clip space on GPUs is in 3D projective space, with [x, y, z, 𝑊] components. It’s hard to visualize adding another dimension to the diagram above (a projector which exists in 4D, and projects onto 3D space) - so you’ll have to use your imagination - but how 𝑊 works remains: as it increases, the coordinate [x, y, z] expands (scales up) and when 𝑊 decreases, the coordinate [x, y, z] shrinks (scales down). Each vertex can have its own 𝑊 value, and so each vertex effectively lives in its own unique projective clip space. The 𝑊 is basically a scaling transformation for the 3D coordinate.

Clip space continued

The vertex shader (i.e., you) are responsible for producing that four-dimensional vertex position in clip space. Vertices form primitive shapes (like triangles), and when they go beyond the bounds of that clip space volume / bounding box in the diagram shown earlier, or if they intersect it, the GPU will clip them. You can literally think of a piece of paper in the shape of a triangle, then imagine using scissors to clip a portion of the triangle off!

Anything that is outside the clip space volume / bounding box, any points that do not pass the following tests, will be clipped:

  • −p.𝑊 ≤ p.x ≤ p.𝑊
  • −p.𝑊 ≤ p.y ≤ p.𝑊
  • 0 ≤ p.z ≤ p.𝑊 (depth clipping, optional)

GPUs use the clip volume to determine what actually needs to be rendered. Fragments/pixels/vertices outside of this clip volume, anything off-screen or behind the viewer/camera, do not need to be rendered.

Clip space -> NDC

Finally it is time to perform the perspective divide, and get our clip-space coordinates into normalized device coordinates (NDC).

Much like clip space, NDC is a bounding box:

  • -1.0 ≤ x ≤ 1.0
  • -1.0 ≤ y ≤ 1.0
  • 0.0 ≤ z ≤ 1.0
  • The bottom-left corner is at (-1.0, -1.0, z).

To convert from clip space -> NDC, we perform the perspective divide, take the (x, y, z) components and dividing each by the 𝑊 component, this converts a 4D clip-space coordinate into 3D space once again.

Rasterization

Multiple vertices in normalized device coordinates make up primitive shapes (like triangles), which the GPU performs rasterization on, rendering to texels in the framebuffer, depth buffer, etc. This involves many other aspects we won’t go into here: multisampling, depth testing, front/back-face culling, stenciling, scissor operations, and more! It also involves running your fragment shader for each fragment that would end up in the framebuffer and, ultimately, as a pixel on the screen.

What we will explain here is how normalized device coordinates end up mapping to framebuffer space, though!

Normalized device coordinates

Here you can see how normalized device coordinates would map to e.g. a fullscreen window.

(x=0, y=0) is always the center of the framebuffer, whether it’s a window, a fullscreen application, running at any resolution - it’s always the center! (-1, -1) is always the bottom-left, and (1, 1) the top-right. The Z axis extends from z=0 (the surface of your screen) into it at z=1.

Framebuffer coordinates

It’s worth noting that framebuffer coordinates are not always the same thing as pixels. Framebuffers hold texels. As displays became higher and higher in their resolutions, OS developers decided that physical pixels on your screen and virtual pixels used to position/place things on screen, would be different concepts. Blegh!

For example.. you may create a window on your screen which is 720x480px. On a machine with an older display/monitor/OS version, that may mean you get a 720x480 resolution framebuffer, everything matches, great! But on a newer system with a HDPI display, you may find that your 720x480px window has a framebuffer resolution of twice that, at 1440x960! In this case, one virtual pixel maps to four (2x2) physical pixels on the display!

macOS, Windows, Linux, and cellphones all have this distinction today between physical and virtual pixels, with various options that affect the mapping of virtual->physical. Some platforms (e.g. Linux) even allow for fractional scaling, where e.g. a virtual pixel may be made up of say 2.1 physical pixels, so your 720px wide window might end up being 1512px wide!

The key thing here to keep in mind is just that the window resolution != framebuffer resolution, you’re always rendering pixels/texels into the framebuffer, but there’s no guarantee a pixel/texel in the framebuffer will be displayed as 1 physical pixel on the screen. You may need to convert between the two frequently.

You are now a multidimensional wizard!

You’re now capable of traversing the various coordinate systems, to 4D space and back again - or, at least, hopefully you have a clearer picture of the parts involved in getting a vertex in the 3D world to end up on the screen at the end of the day.

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Traversing coordinate systems

Imagine you’ve got a 3D model in a scene, a virtual camera is viewing it. But how do the vertices of the model ultimately end up on the 2D screen? We’ll walk through the various coordinate system transformations involved in that in this section, with lots of diagrams and minimal maths!

Cartesian coordinate system transformations

First we need to know what a coordinate system transformation is. Imagine a typical 3D grid like you’d find in a 3D model editor, such as Blender. That’s a 3D cartesian coordinate system - the linear axis in X, Y, and Z dimensions.

Pick any point on that grid. Then imagine a second grid / coordinate system, overlayed exactly with the other one. But this one you can move, rotate, scale, etc.! As you do, the point you chose on the first grid remains in the same location.. but in the 2nd grid its location changes depending on how you move/rotate/scale the grid!

The fact that we can take a point anywhere in the first grid, and determine where it would be in the 2nd grid which is moved/rotated/scaled, is a coordinate system transformation and is what a matrix transformation does. Keep this in mind as you think about the transformations we describe later.

Model -> World space

Now that we understand what a coordinate system transformation is, we can begin talking about the first one we need to perform: Model -> World space. Imagine a vertex on a 3D model: the point of a diamond floating in front of a monkey

This vertex is said to be in the local space of the model, or just ‘model space’ for short. We get to decide what unit of measurement is used, as long as we’re consistent everywhere - so let’s say our unit is meters. The position of this vertex at the tip of the monkey’s hand is (0, 0, 1) in model space: ‘one meter in front’ of the monkey, from the perspective of the monkey. It doesn’t matter where the monkey is located in the world, that vertex is always at (0, 0, 1) in model space because it is from the perspective of the monkey.

The Model matrix describes how to transform a point in model space into world space, so that we can say ’the monkey’s finger tip’ is at a specific point in the world, rather than being relative to the monkey’s location/rotation/scale/etc.

World -> View space

Next up, we need to convert from world space into view space. Just like how model space is relative to the model, view space is relative to the viewer (i.e. the virtual camera of the scene) - this lets us say “this vertex in the 3D world is at (x, y, z) relative to the camera/viewer.

This is like the opposite of what we just did above: going from Wrench’s local model space to world space. Instead, we’re going from world space to the camera’s local space.

View -> Clip space

Now that we know where the point is in view space / relative to the camera, we need to transform the vertex into clip space. A projection matrix is used for this, taking 3D points relative to the viewer, and transforming them into a normalized clip space bounding box.

Notice how the view frustum above represents a sort of virtual camera lens, with the far plane being much larger than the near plane. The shape of the view frustum is what makes our geometry look like it is in 3D space, objects further away from will appear smaller and objects closer to the camera will appear larger. For 2D games, an orthographic projection matrix is used instead of the ‘warped’ perspective projection matrix shown above.

Also note that the view frustum is where we take into account the aspect ratio and field-of-view. For 2D games, the orthographic projection matrix often e.g. determine how many world-space units map to a single fragment/pixel on screen.

The clip space volume / bounding box on the right is a concept defined by the underlying graphics APIs and hardware. When a vertex shader runs on every vertex of a 2D/3D model, its goal is to output the position of the vertex in clip space. Unlike our other 3D coordinate spaces so far, clip space is a 4D homegenous space - also known as a projective space.

Projective geometry

In all our other 3D coordinate systems so far, we’ve been thinking in terms of Euclidean geometry with [x, y, z] points. But in clip space, we need to think in terms of Projective geometry instead with [x, y, z, w], where 𝑊 acts basically as a scaling transformation for the 3D coordinate - which will be used in our next transformation.

The above diagram shows 2D projective space, with [x, y, 𝑊] - but clip space on GPUs is in 3D projective space, with [x, y, z, 𝑊] components. It’s hard to visualize adding another dimension to the diagram above (a projector which exists in 4D, and projects onto 3D space) - so you’ll have to use your imagination - but how 𝑊 works remains: as it increases, the coordinate [x, y, z] expands (scales up) and when 𝑊 decreases, the coordinate [x, y, z] shrinks (scales down). Each vertex can have its own 𝑊 value, and so each vertex effectively lives in its own unique projective clip space. The 𝑊 is basically a scaling transformation for the 3D coordinate.

Clip space continued

The vertex shader (i.e., you) are responsible for producing that four-dimensional vertex position in clip space. Vertices form primitive shapes (like triangles), and when they go beyond the bounds of that clip space volume / bounding box in the diagram shown earlier, or if they intersect it, the GPU will clip them. You can literally think of a piece of paper in the shape of a triangle, then imagine using scissors to clip a portion of the triangle off!

Anything that is outside the clip space volume / bounding box, any points that do not pass the following tests, will be clipped:

  • −p.𝑊 ≤ p.x ≤ p.𝑊
  • −p.𝑊 ≤ p.y ≤ p.𝑊
  • 0 ≤ p.z ≤ p.𝑊 (depth clipping, optional)

GPUs use the clip volume to determine what actually needs to be rendered. Fragments/pixels/vertices outside of this clip volume, anything off-screen or behind the viewer/camera, do not need to be rendered.

Clip space -> NDC

Finally it is time to perform the perspective divide, and get our clip-space coordinates into normalized device coordinates (NDC).

Much like clip space, NDC is a bounding box:

  • -1.0 ≤ x ≤ 1.0
  • -1.0 ≤ y ≤ 1.0
  • 0.0 ≤ z ≤ 1.0
  • The bottom-left corner is at (-1.0, -1.0, z).

To convert from clip space -> NDC, we perform the perspective divide, take the (x, y, z) components and dividing each by the 𝑊 component, this converts a 4D clip-space coordinate into 3D space once again.

Rasterization

Multiple vertices in normalized device coordinates make up primitive shapes (like triangles), which the GPU performs rasterization on, rendering to texels in the framebuffer, depth buffer, etc. This involves many other aspects we won’t go into here: multisampling, depth testing, front/back-face culling, stenciling, scissor operations, and more! It also involves running your fragment shader for each fragment that would end up in the framebuffer and, ultimately, as a pixel on the screen.

What we will explain here is how normalized device coordinates end up mapping to framebuffer space, though!

Normalized device coordinates

Here you can see how normalized device coordinates would map to e.g. a fullscreen window.

(x=0, y=0) is always the center of the framebuffer, whether it’s a window, a fullscreen application, running at any resolution - it’s always the center! (-1, -1) is always the bottom-left, and (1, 1) the top-right. The Z axis extends from z=0 (the surface of your screen) into it at z=1.

Framebuffer coordinates

It’s worth noting that framebuffer coordinates are not always the same thing as pixels. Framebuffers hold texels. As displays became higher and higher in their resolutions, OS developers decided that physical pixels on your screen and virtual pixels used to position/place things on screen, would be different concepts. Blegh!

For example.. you may create a window on your screen which is 720x480px. On a machine with an older display/monitor/OS version, that may mean you get a 720x480 resolution framebuffer, everything matches, great! But on a newer system with a HDPI display, you may find that your 720x480px window has a framebuffer resolution of twice that, at 1440x960! In this case, one virtual pixel maps to four (2x2) physical pixels on the display!

macOS, Windows, Linux, and cellphones all have this distinction today between physical and virtual pixels, with various options that affect the mapping of virtual->physical. Some platforms (e.g. Linux) even allow for fractional scaling, where e.g. a virtual pixel may be made up of say 2.1 physical pixels, so your 720px wide window might end up being 1512px wide!

The key thing here to keep in mind is just that the window resolution != framebuffer resolution, you’re always rendering pixels/texels into the framebuffer, but there’s no guarantee a pixel/texel in the framebuffer will be displayed as 1 physical pixel on the screen. You may need to convert between the two frequently.

You are now a multidimensional wizard!

You’re now capable of traversing the various coordinate systems, to 4D space and back again - or, at least, hopefully you have a clearer picture of the parts involved in getting a vertex in the 3D world to end up on the screen at the end of the day.

\ No newline at end of file diff --git a/docs/modularity/index.html b/docs/modularity/index.html index c1d45fe..f41490b 100644 --- a/docs/modularity/index.html +++ b/docs/modularity/index.html @@ -3,4 +3,4 @@ GitHub Discord

Modularity

Mach aims to be opinionated enough to provide a cohesive high-level experience, but modular enough to let you use only a subset of it.

‘standard library’ of Zig gamedev modules

Mach is a ‘standard library’ of Zig gamedev modules. For example, you can import and use just specific parts of Mach like the mach.math library and use these to build your own engine.

Alternative to GLFW/SDL + OpenGL/Vulkan, Raylib, etc

Many folks join the Mach and Zig communities looking to ‘make games mostly from scratch’ using something minimal like GLFW+OpenGL, SDL+Vulkan, Raylib, etc. but find working with those libraries can be a bit tedious as they are C libraries.

Mach offers a pure Zig alternative to those libraries. Since it is experimental, it’s definitely not as polished yet - but you can use just the part of Mach that opens a window, uses a low-level graphics API, and use Zig as your shading language. This is higher-level than GLFW/SDL/OpenGL/Vulkan, but lower-level than libraries like Raylib.

Then, if you like, you can optionally use some higher-level Mach modules for text rendering and other things to move a little-bit closer to something like Raylib.

Alternative to Unity/Unreal/Godot

This is our ultimate goal, and we’re certainly not there yet - but the aim is for Mach’s individual modules to ultimately build up to an experience competitive with the big engines of today - but in a much more modular, still cohesive, way.

What about the full engine, GUI editor, etc.?

The engine is the overall composition of two things:

  1. The Mach standard library - the engine APIs and ‘blessed’ paths for doing things, as a bunch of modules.
  2. The Mach editor and CLI tooling - coming soon - which will provide standard tools and high-level experiences you’d expect from a game engine - designed to integrate nicely with our module system.

Whether you use both, or how much of either you decide to use, is up to you!

Can I make my own game engine using Mach?

Yes! For example instead of using SDL+OpenGL, you might choose to rely on just mach.core - and if you need a math library you might use mach.math - both of which are modules in the Mach standard library.

\ No newline at end of file + Donate

Modularity

Mach aims to be opinionated enough to provide a cohesive high-level experience, but modular enough to let you use only a subset of it.

‘standard library’ of Zig gamedev modules

Mach is a ‘standard library’ of Zig gamedev modules. For example, you can import and use just specific parts of Mach like the mach.math library and use these to build your own engine.

Alternative to GLFW/SDL + OpenGL/Vulkan, Raylib, etc

Many folks join the Mach and Zig communities looking to ‘make games mostly from scratch’ using something minimal like GLFW+OpenGL, SDL+Vulkan, Raylib, etc. but find working with those libraries can be a bit tedious as they are C libraries.

Mach offers a pure Zig alternative to those libraries. Since it is experimental, it’s definitely not as polished yet - but you can use just the part of Mach that opens a window, uses a low-level graphics API, and use Zig as your shading language. This is higher-level than GLFW/SDL/OpenGL/Vulkan, but lower-level than libraries like Raylib.

Then, if you like, you can optionally use some higher-level Mach modules for text rendering and other things to move a little-bit closer to something like Raylib.

Alternative to Unity/Unreal/Godot

This is our ultimate goal, and we’re certainly not there yet - but the aim is for Mach’s individual modules to ultimately build up to an experience competitive with the big engines of today - but in a much more modular, still cohesive, way.

What about the full engine, GUI editor, etc.?

The engine is the overall composition of two things:

  1. The Mach standard library - the engine APIs and ‘blessed’ paths for doing things, as a bunch of modules.
  2. The Mach editor and CLI tooling - coming soon - which will provide standard tools and high-level experiences you’d expect from a game engine - designed to integrate nicely with our module system.

Whether you use both, or how much of either you decide to use, is up to you!

Can I make my own game engine using Mach?

Yes! For example instead of using SDL+OpenGL, you might choose to rely on just mach.core - and if you need a math library you might use mach.math - both of which are modules in the Mach standard library.

\ No newline at end of file diff --git a/docs/nominated-zig/index.html b/docs/nominated-zig/index.html index f4eca00..4cdba42 100644 --- a/docs/nominated-zig/index.html +++ b/docs/nominated-zig/index.html @@ -3,7 +3,7 @@ GitHub Discord

Nominated Zig versions

Periodically we nominate a new Zig nightly version which all Mach projects target and use.

We encourage others to adopt the same Zig version Mach uses, since Zig packages which target latest nightly (or the latest stable release) will very often be incompatible otherwise.

Why nominated Zig versions, instead of nightly or stable?

TL;DR: it’s a sweetspot between stable and nightly.

Stable releases occur just once or twice per year, nominated Zig versions occur several times per year - but not every day like nightly.

Stable releases of Zig are few and far between, perhaps once or twice per year, making it challenging to provide feedback on the latest-and-greatest APIs or benefit from the wins that are being made in main because Zig development happens so rapidly.

Nightly Zig is the opposite, but is an always moving target. When only you work with your code, you depend on nobody, and nobody depends on you, then you can update at your leisure and nightly is managable. But with many projects depending on one another, it’s very challenging to ensure your code is compatible with others’ because everyone is working on their own personal update schedule.

Mach’s nominated Zig versions provide a different set of tradeoffs, a middleground between the two extremes above: benefit from the changes in nightly Zig 2-3x faster than you would using stable, and suffer less from the incompatibility consequences of using nightly.

Schedule

WhenWhat🚀 Other notable event
January🚀 Mach version release
February👋 Anticipated influx of new Machanists / Ziguanas
March⚡ Zig version nominated
April
May⚡ Zig version nominated
June⚡ Zig version nominated
July🚀 Mach version release
August👋 Anticipated influx of new Machanists / Ziguanas
September⚡ Zig version nominated
October
November⚡ Zig version nominated
December👋 Anticipated influx of new Machanists / Ziguanas

All events target the 4th day of the month, but may slip if we’re unable to complete the event by then.

Over time, we may adjust this schedule somewhat as we learn more (it is not set in stone.)

Process

During months where a Zig version is nominated, we:

  • Begin the nomination process (ideally on the 1st-4th of the month)
  • Update the Nomination history section below with the new nightly Zig version we’re nominating.
  • Begin the time-consuming process of following this GitHub checklist
    • Updating 40+ repositories Zig code, CI pipelines, build.zig.zon files, testing using the new Zig version, etc.
    • Doing updates in a specific order, so that dependencies are also updated to use the new Zig version
  • Typically, a show-stopping bug does not occur. But if it does..
    • We may have to fix the issue e.g. upstream in Zig if we can’t workaround it
    • We’ll need to wait for it to be merged, and for Zig nightly builds to contain the fix
    • We’ll update the existing Nomination history entry to point to the new version (days may have passed, so this could include other breaking changes)
    • Re-roll! Effectively begin this whole process from the beginning.
  • Once everything looks good, the new Zig version is working with Mach, we declare success - the GitHub issue is closed, and an announcement is made in the #progress channel of Discord.
  • If after we declare success you find a show-stopping bug in your own projects that needs to be fixed upstream in Zig, you’ll have to use the older version until the next scheduled nominated version update.

Machine-readable version history

https://machengine.org/zig/index.json provides a machine-readable version history. It is a strict superset of https://ziglang.org/download/index.json - but updated less frequently, and with Mach versions added. A few types of Mach versions are added:

  • mach-latest -> always the latest nominated Zig version.
  • 2024.1.0-mach-wip -> -wip signifies that we are in the process of nominating this version, it has not been confirmed working with Mach yet.
  • 2024.1.0-mach -> specific nominated versions.
  • 0.3.0-mach -> an alias for the nominated Zig version that was used at the time of Mach v0.3 release.

What if we had used stable zig in the past?

Periodically, the question comes up: why not just use stable Zig versions? The best way to answer this, and our own gauge for answering this, is to look at how this would’ve affected us in the past.

  • Between Zig 0.13 and 0.14 (not yet released):
    • We were able to identify a linker regression which prevented Mach from building/linking at all on macOS. This regression likely only affected Mach, as most projects do not use Zig ObjC bindings. If we hadn’t been able to identify this regression and give feedback to the Zig core team (who thankfully was able to fix it quickly!) then we may not have been able to upgrade to Zig 0.14 while keeping macOS support.
  • Between Zig 0.12 and 0.13 (1.5 months):
    • We were able to identify a linker regression which prevented using prebuilt WebGPU binaries on macOS, exactly one day after the 0.12 release. Again, this regression likely primarily affected Mach - so if we had been using stable Zig, we’d need to hope it got fixed in 0.13 which was a short development cycle - or wait ~10 months for 0.14 / regress our macOS support.
  • Between Zig 0.11 and 0.12 (8.5 months)
    • We were able to provide early feedback on the package manager and get various bugs/issues with it fixed for our use cases, being probably the earliest / most serious adopter of it. If we had not done this, we would’ve had no choice but to maintain our pre-package-manager dependency management system until Zig 0.13 was released ~10 months later.
  • Between Zig 0.10 and 0.11 (9 months)
    • Early package manager feedback.

Nominated Zig history

2024.10.0-mach

Zig 2024.10.0-mach and 0.14.0-dev.1911+3bf89f55c are identical.

Install it using zigup:

zigup 0.14.0-dev.1911+3bf89f55c
+ Donate

Nominated Zig versions

Periodically we nominate a new Zig nightly version which all Mach projects target and use.

We encourage others to adopt the same Zig version Mach uses, since Zig packages which target latest nightly (or the latest stable release) will very often be incompatible otherwise.

Why nominated Zig versions, instead of nightly or stable?

TL;DR: it’s a sweetspot between stable and nightly.

Stable releases occur just once or twice per year, nominated Zig versions occur several times per year - but not every day like nightly.

Stable releases of Zig are few and far between, perhaps once or twice per year, making it challenging to provide feedback on the latest-and-greatest APIs or benefit from the wins that are being made in main because Zig development happens so rapidly.

Nightly Zig is the opposite, but is an always moving target. When only you work with your code, you depend on nobody, and nobody depends on you, then you can update at your leisure and nightly is managable. But with many projects depending on one another, it’s very challenging to ensure your code is compatible with others’ because everyone is working on their own personal update schedule.

Mach’s nominated Zig versions provide a different set of tradeoffs, a middleground between the two extremes above: benefit from the changes in nightly Zig 2-3x faster than you would using stable, and suffer less from the incompatibility consequences of using nightly.

Schedule

WhenWhat🚀 Other notable event
January🚀 Mach version release
February👋 Anticipated influx of new Machanists / Ziguanas
March⚡ Zig version nominated
April
May⚡ Zig version nominated
June⚡ Zig version nominated
July🚀 Mach version release
August👋 Anticipated influx of new Machanists / Ziguanas
September⚡ Zig version nominated
October
November⚡ Zig version nominated
December👋 Anticipated influx of new Machanists / Ziguanas

All events target the 4th day of the month, but may slip if we’re unable to complete the event by then.

Over time, we may adjust this schedule somewhat as we learn more (it is not set in stone.)

Process

During months where a Zig version is nominated, we:

  • Begin the nomination process (ideally on the 1st-4th of the month)
  • Update the Nomination history section below with the new nightly Zig version we’re nominating.
  • Begin the time-consuming process of following this GitHub checklist
    • Updating 40+ repositories Zig code, CI pipelines, build.zig.zon files, testing using the new Zig version, etc.
    • Doing updates in a specific order, so that dependencies are also updated to use the new Zig version
  • Typically, a show-stopping bug does not occur. But if it does..
    • We may have to fix the issue e.g. upstream in Zig if we can’t workaround it
    • We’ll need to wait for it to be merged, and for Zig nightly builds to contain the fix
    • We’ll update the existing Nomination history entry to point to the new version (days may have passed, so this could include other breaking changes)
    • Re-roll! Effectively begin this whole process from the beginning.
  • Once everything looks good, the new Zig version is working with Mach, we declare success - the GitHub issue is closed, and an announcement is made in the #progress channel of Discord.
  • If after we declare success you find a show-stopping bug in your own projects that needs to be fixed upstream in Zig, you’ll have to use the older version until the next scheduled nominated version update.

Machine-readable version history

https://machengine.org/zig/index.json provides a machine-readable version history. It is a strict superset of https://ziglang.org/download/index.json - but updated less frequently, and with Mach versions added. A few types of Mach versions are added:

  • mach-latest -> always the latest nominated Zig version.
  • 2024.1.0-mach-wip -> -wip signifies that we are in the process of nominating this version, it has not been confirmed working with Mach yet.
  • 2024.1.0-mach -> specific nominated versions.
  • 0.3.0-mach -> an alias for the nominated Zig version that was used at the time of Mach v0.3 release.

What if we had used stable zig in the past?

Periodically, the question comes up: why not just use stable Zig versions? The best way to answer this, and our own gauge for answering this, is to look at how this would’ve affected us in the past.

  • Between Zig 0.13 and 0.14 (not yet released):
    • We were able to identify a linker regression which prevented Mach from building/linking at all on macOS. This regression likely only affected Mach, as most projects do not use Zig ObjC bindings. If we hadn’t been able to identify this regression and give feedback to the Zig core team (who thankfully was able to fix it quickly!) then we may not have been able to upgrade to Zig 0.14 while keeping macOS support.
  • Between Zig 0.12 and 0.13 (1.5 months):
    • We were able to identify a linker regression which prevented using prebuilt WebGPU binaries on macOS, exactly one day after the 0.12 release. Again, this regression likely primarily affected Mach - so if we had been using stable Zig, we’d need to hope it got fixed in 0.13 which was a short development cycle - or wait ~10 months for 0.14 / regress our macOS support.
  • Between Zig 0.11 and 0.12 (8.5 months)
    • We were able to provide early feedback on the package manager and get various bugs/issues with it fixed for our use cases, being probably the earliest / most serious adopter of it. If we had not done this, we would’ve had no choice but to maintain our pre-package-manager dependency management system until Zig 0.13 was released ~10 months later.
  • Between Zig 0.10 and 0.11 (9 months)
    • Early package manager feedback.

Nominated Zig history

2024.10.0-mach

Zig 2024.10.0-mach and 0.14.0-dev.1911+3bf89f55c are identical.

Install it using zigup:

zigup 0.14.0-dev.1911+3bf89f55c
 

Or download it using our pkg.machengine.org mirror:

OS/ArchKindDownload mirror
Linux x86_64Binaryzig-linux-x86_64-0.14.0-dev.1911+3bf89f55c.tar.xz
Linux aarch64 (ARM)Binaryzig-linux-aarch64-0.14.0-dev.1911+3bf89f55c.tar.xz
Windows x86_64Binaryzig-windows-x86_64-0.14.0-dev.1911+3bf89f55c.zip
Windows aarch64 (ARM)Binaryzig-windows-aarch64-0.14.0-dev.1911+3bf89f55c.zip
macOS x86_64 (Intel)Binaryzig-macos-x86_64-0.14.0-dev.1911+3bf89f55c.tar.xz
macOS aarch64 (Apple Silicon)Binaryzig-macos-aarch64-0.14.0-dev.1911+3bf89f55c.tar.xz
Source codeSourcezig-0.14.0-dev.1911+3bf89f55c.tar.xz

Installation: Download, extract, and place on your system $PATH. Ensure zig version reports the right version.

Signatures: .minisig Download signatures can be retrieved from ziglang.org for all downloads.

Tips on upgrading your code

2024.5.0-mach

Zig 2024.5.0-mach and 0.13.0-dev.351+64ef45eb0 are identical.

Install it using zigup:

zigup 0.13.0-dev.351+64ef45eb0
 

Or download it using our pkg.machengine.org mirror:

OS/ArchKindDownload mirror
Linux x86_64Binaryzig-linux-x86_64-0.13.0-dev.351+64ef45eb0.tar.xz
Linux aarch64 (ARM)Binaryzig-linux-aarch64-0.13.0-dev.351+64ef45eb0.tar.xz
Windows x86_64Binaryzig-windows-x86_64-0.13.0-dev.351+64ef45eb0.zip
Windows aarch64 (ARM)Binaryzig-windows-aarch64-0.13.0-dev.351+64ef45eb0.zip
macOS x86_64 (Intel)Binaryzig-macos-x86_64-0.13.0-dev.351+64ef45eb0.tar.xz
macOS aarch64 (Apple Silicon)Binaryzig-macos-aarch64-0.13.0-dev.351+64ef45eb0.tar.xz
Source codeSourcezig-0.13.0-dev.351+64ef45eb0.tar.xz

Installation: Download, extract, and place on your system $PATH. Ensure zig version reports the right version.

Signatures: .minisig Download signatures can be retrieved from ziglang.org for all downloads.

Tips on upgrading your code

2024.3.0-mach

Zig 2024.3.0-mach and 0.12.0-dev.3180+83e578a18 are identical.

Install it using zigup:

zigup 0.12.0-dev.3180+83e578a18
 

Or download it using our pkg.machengine.org mirror:

OS/ArchKindDownload mirror
Linux x86_64Binaryzig-linux-x86_64-0.12.0-dev.3180+83e578a18.tar.xz
Linux aarch64 (ARM)Binaryzig-linux-aarch64-0.12.0-dev.3180+83e578a18.tar.xz
Windows x86_64Binaryzig-windows-x86_64-0.12.0-dev.3180+83e578a18.zip
Windows aarch64 (ARM)Binaryzig-windows-aarch64-0.12.0-dev.3180+83e578a18.zip
macOS x86_64 (Intel)Binaryzig-macos-x86_64-0.12.0-dev.3180+83e578a18.tar.xz
macOS aarch64 (Apple Silicon)Binaryzig-macos-aarch64-0.12.0-dev.3180+83e578a18.tar.xz
Source codeSourcezig-0.12.0-dev.3180+83e578a18.tar.xz

Installation: Download, extract, and place on your system $PATH. Ensure zig version reports the right version.

Signatures: .minisig Download signatures can be retrieved from ziglang.org for all downloads.

Tips on upgrading your code

2024.1.0-mach

Zig 2024.1.0-mach and 0.12.0-dev.2063+804cee3b9 are identical.

Note: The first nominated version ever, this was out-of-band with the schedule due to it.

Install it using zigup:

zigup 0.12.0-dev.2063+804cee3b9
diff --git a/docs/object/index.html b/docs/object/index.html
new file mode 100644
index 0000000..1637773
--- /dev/null
+++ b/docs/object/index.html
@@ -0,0 +1,6 @@
+Mach: zig game engine & graphics toolkit

Object system

Mach provides an object system which enables writing modular, reusable, high-performance code that represents everything from virtual objects like textures and shaders - to visual in-game objects and more.

The object system is a foundational part of Mach used by every part of it. Whether you choose to use just a few parts of Mach, or embrace all of Mach, you’ll be using modules and objects.

Overview

There are a few different concepts, which when used together compose the Mach object system:

  • Modules - a collection of global state, systems, and objects
  • Systems - like a function, or a list of systems (functions), that could be run
  • Objects - like a slice of structs, but with various features and performance benefits
  • Relations - optionally attach objects as parents/children of other objects

Continue reading: modules

Object system: modules

\ No newline at end of file diff --git a/docs/object/index.xml b/docs/object/index.xml new file mode 100644 index 0000000..77b1469 --- /dev/null +++ b/docs/object/index.xml @@ -0,0 +1,6 @@ +Object system on Mach: zig game engine & graphics toolkithttps://machengine.org/docs/object/Recent content in Object system on Mach: zig game engine & graphics toolkitHugo -- gohugo.ioen-usObject system: moduleshttps://machengine.org/docs/object/modules/Mon, 01 Jan 0001 00:00:00 +0000https://machengine.org/docs/object/modules/Object system: modules Mach modules are a key concept of the Mach object system. Mach modules (not to be confused with Zig modules, although they are very similar) are the ‘building blocks’ used to organize everything in Mach itself, as well as in your own application. You can pick and choose which modules your program uses, import third-party libraries that provide modules, etc. +Examples of modules: a physics engine, a 2D sprite renderer, a text renderer, a scene manager, your application’s main logic, etc.Object system: objectshttps://machengine.org/docs/object/objects/Mon, 01 Jan 0001 00:00:00 +0000https://machengine.org/docs/object/objects/Object system: objects Mach objects are a key concept of the Mach object system and are used to represent everything from virtual objects like textures and shaders, to visual in-game objects and more! +Declaring objects Objects are declared just like a modules’ global state fields - the only difference is the data type of the struct field. For example, here is a dynamically-sized list of monster objects where each monster can have health and damage values:Object system: relationshttps://machengine.org/docs/object/relations/Mon, 01 Jan 0001 00:00:00 +0000https://machengine.org/docs/object/relations/Object system: relations Mach object relations are a key concept of the Mach object system and enable you to arbitrarily create parent-child relations between objects. +Among other things, this allows for attaching your own arbitrary data to someone else’s object - a form of relaxed type constraint which enable you to quickly iterate on your codebase. *Mach’s object system is not an Entity Component System (it’s better!), but ECS typically enables this form of relaxed type constraint to enable fast iteration - and object relations are how we provide this flexibility.Object system: systemshttps://machengine.org/docs/object/systems/Mon, 01 Jan 0001 00:00:00 +0000https://machengine.org/docs/object/systems/Object system: systems Mach systems are a key concept of the Mach object system. Systems are functions, or a list of systems (functions), that could be run if desired. +Declaring systems To declare a system, one simply needs to add the name of the system to a pub const mach_systems list in the module: +pub const mach_module = .foo; // ... pub const mach_systems = .{ .init, .tick, .deinit }; The names written in this list (. \ No newline at end of file diff --git a/docs/object/modules/index.html b/docs/object/modules/index.html new file mode 100644 index 0000000..7ea87e0 --- /dev/null +++ b/docs/object/modules/index.html @@ -0,0 +1,40 @@ +Object system: modules | Mach: zig game engine & graphics toolkit

Object system: modules

Mach modules are a key concept of the Mach object system. Mach modules (not to be confused with Zig modules, although they are very similar) are the ‘building blocks’ used to organize everything in Mach itself, as well as in your own application. You can pick and choose which modules your program uses, import third-party libraries that provide modules, etc.

Examples of modules: a physics engine, a 2D sprite renderer, a text renderer, a scene manager, your application’s main logic, etc.

Program entrypoint

Normally, you might start writing an application by writing the bulk of your code inside your main.zig file’s pub fn main.

In a Mach application, you may not write main.zig at all. Instead you may prefer to let Mach provide main.zig for you depending on the platform, so that it can provide a different version for desktop/mobile/etc that handles such differences.

If you were to write main.zig yourself, though, it would look something like this for a desktop app:

const std = @import("std");
+const mach = @import("mach");
+
+// The set of Mach modules our application may use.
+const Modules = mach.Modules(.{
+    mach.Core,
+    @import("App.zig"),
+    @import("Renderer.zig"),
+});
+
+pub fn main() !void {
+    const allocator = std.heap.c_allocator;
+
+    // Initialize the module system.
+    var mods: Modules = undefined;
+    try mods.init(allocator);
+
+    // Pass control to our App.zig module.
+    const app = mods.get(.app);
+    app.run(.main);
+}
+

Here you can see we declare a Modules type - the set of Mach modules that our application may use when it runs.

All Mach modules in a program are known once the program starts, you can’t e.g. add/remove/disable modules at runtime - once you register them, they’re always there ready to be used - the only question is whether you do use them or not.

If you look closely, none of our application logic is written in this main.zig file either: instead we write our application logic inside App.zig - our very own Mach module - and pub fn main simply passes control to that module.

The simplest Mach module

Just like a Zig module, a Mach module is simply a struct - often written as just a Zig code file. For example, here’s an App.zig module:

pub const mach_module = .app;
+

This module doesn’t do anything - it’s just has a name - which is the only required field for a Mach module.

Modules have names

Modules follow certain conventions and requirements, the first one being that a module must have a unique name.

The pub const mach_module = .foobar; is an enum literal indicating the module’s name (you can write any value on the right hand side, since you’re declaring the module’s name.)

Here are some naming rules and guidelines to be aware of:

  1. No two modules in a program can have the same name (enforced by a compiler error), which means all Mach modules in a program are globally addressible.
  2. If writing a module that others may import/use in their own programs, you should prefix your module names with a unique identifier like your project name to prevent conflicts with the user’s own application modules.
    • Example: Mach’s builtin modules are prefixed with “mach_”, e.g. .mach_sprite_renderer instead of .sprite_renderer
  3. If writing a module just for your application/game’s logic, you can safely assume all modules you import are prefixed - so you can use single-word names like .app, .physics, .renderer, etc. for yourself.

Modules can have global state

Let’s look at our App.zig module from earlier: since Zig code files are just structs (as if you wrote the contents of a file inside a struct { ... } block), we can write struct fields at the top level of our file.

For example, we can add a timer and counter field to our App.zig module:

pub const mach_module = .app;
+
+timer: mach.time.Timer,
+counter: u32,
+

There is only ever one instance of a module in a program, so these are effectively global variables. Writing these as struct fields rather than literally as global vars means that Mach moduloe’s global state fields are globally addressible (its possible to walk all modules used in the program, then walk over all their state fields, inspecting their data types, and reading/writing their values at runtime - which is super useful for debug tooling and more!)

Modules can have systems

Similar to how we declared pub const mach_module = .foo_name;, a module can declare that it has systems with specific names:

pub const mach_systems = .{ .init, .tick, .deinit };
+

In this case, our module declared that it has systems called .init, .tick, and .deinit - these are just made up names (we’re declaring them) - we can name them whatever we like.

Systems are ultimately just functions (or lists of functions) that could be run if someone wants them to. They don’t do anything by default.

The only requirement is that if a system is named in mach_systems, there must be a corresponding public function or schedule of the same name (else you’ll get a compiler error) - for example:

pub fn init() void {
+    // ...
+}
+

Systems are covered in more depth in the systems section.

Modules can have objects

Just like how we added the timer and counter fields above, it is possible to declare lists of objects inside a module. For example, here’s a list of monsters where each monster object can have a health and damage value:

monsters: mach.Objects(struct {
+    health: f32,
+    damage: f32,
+}),
+

Objects are covered in more depth in the objects section.

Continue reading: systems

Object system: systems

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Object system: objects

Mach objects are a key concept of the Mach object system and are used to represent everything from virtual objects like textures and shaders, to visual in-game objects and more!

Declaring objects

Objects are declared just like a modules’ global state fields - the only difference is the data type of the struct field. For example, here is a dynamically-sized list of monster objects where each monster can have health and damage values:

pub const mach_module = .app;
+
+// ...
+
+monsters: mach.Objects(struct {
+    health: f32,
+    damage: f32,
+}),
+

A Mach module can declare as many lists of object as they like using different field names.

Mach objects are fully addressible, it’s possible to walk over all the Mach modules in a program, reflect on which objects they have, what their data types are, create/destroy objects, inspect objects’ values, etc. all at runtime - which is central to enabling debug/GUI tooling, usage from other programming languages, network-synchronized objects, objects serialized to disk, etc.

Using objects

Lists of objects, like monsters in the example above, are automatically initialized and ready-to-use by Mach. This means you can work with objects like so:

pub fn init(app: *App) void {
+    app.monsters.lock();
+    defer app.monsters.unlock();
+
+    // Create a new monster object
+    const new_monster_id: mach.ObjectID = app.monsters.new(.{
+        .health = 100,
+        .damage = 10,
+    });
+
+    // Print the monsters' health
+    const new_monster_id = app.monsters.get(new_monster_id);
+    std.debug.print("monster health: {}\n", .{new_monster.health});
+
+    // Give the monster 2x damage!
+    new_monster.damage *= 2;
+    app.monsters.set(new_monster_id, new_monster); // save the change
+}
+

Performance & philosophy

The first thing we should talk about is performance and memory optimization. mach.Objects isn’t just a dynamic array of structs - it actually stores all of the fields of the object independently (struct-of-arrays, same as a std.MultiArrayList(T)), so internally it’s as if there were a list of []f32 for the health of all objects, and another list of []f32 for the damage of all objects.

This design decision helps reduce the memory overhead of storing many objects, by eliminating padding between struct fields - which can greatly improve CPU cache efficiency and overall application performance. For more details you can watch Andrew Kelley’s Practical DOD talk which teaches practical ways to apply data-oriented design.

A core design decision of Mach’s object system is to encourage you to write code that operates on many objects at once. For example, instead of writing a function that manipulates a single object (like how a Java programmer might), we instead prefer to store all our objects in a big array, and write a function that operates over all of them all at once. This can massively improve performance by improving the odds that objects are in CPU L1/L2/L3 caches, reducing function call overhead, and more.

System functions in Mach are restricted from having arbitrary arguments in part to encourage you to write functions that operate on many objects at once, and to write modules that communicate through objects. Rather than calling another module’s functions to cause an effect, you should assume the module’s functions will run in the future - and you just need to create/modify/update an object to create the desired effect.

Object IDs

The first thing you might notice about the code snippet above is that when you create a new object, you get an object ID back:

const new_monster_id = app.monsters.get(new_monster_id);
+

Object IDs are just stable integer identifiers, containing a ton of information in them:

  • An array index that can be used to O(1) lookup the actual data / struct fields of the object.
  • The generation (or ‘version’) of the object, enabling detecting use-after-object-delete in many (but not all) cases.
  • Which module the object came from, allowing looking up type information about the object - or which module it came from - just from its ID.
  • Which exact list of objects in a module the object came from, allowing looking up detailed type information or the object’s name - which enables debugging and type safety when passing opaque IDs around.

Memory allocation

Internally, a mach.Objects() list maintains a recycling bin of objects: when a .new() object is requested, it looks in the recycling bin to see if we have an index in the array which was a previously .delete()ed object. This allows for rapidly creating/destroying massive quantities of objects with very little overhead.

Additionally, since Mach has insights into the object lists it has the opportunity to analyze the required memory allocation as you e.g. play through your game, save that information to disk and compile it into future builds of the game - to allocate just the right amount in the future ahead of time for even fewer runtime memory allocations and better performance.

Synchronization and multi-threading

You may have noticed that we have this code around our usage of the monsters list:

    app.monsters.lock();
+    defer app.monsters.unlock();
+

All mach.Objects have a read-write lock protecting them.

This enables multiple threads, each running independent Mach module system functions, to coordinate with one-another without data race conditions. For example, you may have some game logic which works on monsters, while having a background thread handling network packets to keep monsters across the network synchronized, while also having a debug editor for your game allowing you to edit monsters’ values at any time - all being synchronized by this read-write lock.

Importantly, since all mach.Objects by convention have a read-write lock which should be held when working with them, it is possible to work with arbitrary objects safely without knowing what they are or under what contract they can be manipulated. For example, a GUI editor can read or write arbitrary objects’ values safely without knowing anything about that type of object - all at runtime.

Performance note: Since it is a read-write lock, multiple threads can read at once. Mutexes are cheap as long as there is no thread contention, and mach.Objects lists are designed to be generally large in size and performant in other ways - so this works out and keeps sometimes quite complex multi-threaded code simple to reason about.

Iterating objects

A very common thing to do is iterate all objects, which you can do like so:

pub fn tick(app: *App) void {
+    app.monsters.lock();
+    defer app.monsters.unlock();
+
+    // Iterate over each monster and do something with them
+    var slice = app.monsters.slice();
+    while (slice.next()) |monster_id| {
+        const monster = slice.get(monster_id);
+        monster.health = 100; // they can never die!
+        slice.set(monster_id, monster);
+
+        // But we will delete them anyway :)
+        if (monster.health == 0) slice.delete(monster_id);
+    }
+}
+

Note: since mach.Objects maintains a recycling bin, you can safely call .delete from inside a for loop - something that might give you a challenge with a normal slice!

Key difference from Entity Component Systems

If you are coming from other game engines which employ an Entity Component System (ECS), it’s worth noting that Mach’s object system is NOT an entity component system. It solves a lot of the same problems, we would argue with better tradeoffs, but it has key differences from common ECS approaches.

One key difference is that with an ECS, you have objects with arbitrary components (struct fields) attached to them - this can actually present a challenge when working with objects: you don’t have a great way to say ‘oh, a button must have both a text_label and a position`. Some ECS try to solve this with ‘component bundles’, but when getting an individual object you then still don’t have a great way to say ‘it has to have both components’.

Mach’s object system instead has rigid data types, literally a struct with fields:

monsters: mach.Objects(struct {
+    health: f32,
+    damage: f32,
+}),
+

Now, you might be wondering ‘but what if I have an object someone else created, and I know it’s not great but I need to attach some data to it without modifying that rigid data type? I don’t want to modify that code’ - this is where object relations come in: we allow you to arbitrarily attach objects of different types / from different lists to eachother.

Continue reading: relations

Object system: relations

\ No newline at end of file diff --git a/docs/object/relations/index.html b/docs/object/relations/index.html new file mode 100644 index 0000000..3bcd337 --- /dev/null +++ b/docs/object/relations/index.html @@ -0,0 +1,6 @@ +Object system: relations | Mach: zig game engine & graphics toolkit

Object system: relations

Mach object relations are a key concept of the Mach object system and enable you to arbitrarily create parent-child relations between objects.

Among other things, this allows for attaching your own arbitrary data to someone else’s object - a form of relaxed type constraint which enable you to quickly iterate on your codebase. *Mach’s object system is not an Entity Component System (it’s better!), but ECS typically enables this form of relaxed type constraint to enable fast iteration - and object relations are how we provide this flexibility.

Relations are ObjectID <-> ObjectID

As discussed in the objects section, objects have IDs which pack a bunch of information including which module and set of objects the ID came from, the actual array index for O(1) lookups, a generation counter for use-after-free detection, and more.

Mach stores parent-child relations as a mapping of object IDs pointing to other object IDs. This means that you can attach say a monster object to a window object - they don’t have to be from the same module or same list of objects.

The parallelism problem

One challenge in representing object relations on top of mach.Objects is that - since each is a list of objects owned by someone - potentially different threads! If we want to allow objects from one list of objects to have parents and children in another list of objects which are owned by a different thread.. things get tricky!

A naive solution to this might be to introduce a global mutex around the graph of object relations. Unfortunately, this would mean that any thread interacting with object relations is blocked on every other thread looking to do the same (Hello, Python interpreter GIL, anyone?)

Mach uses a much more clever solution (thanks to some fantastic advice from kprotty, the famous program optimizer, concurrency/IO guy, and Zig core team member.)

How Mach’s object system stores relations

Mach maintains a single global graph, where objects owned by any threads’ can have parents/children which are objects owned by other threads'.

The trick is that instead of maintaining a global mutex (or using any locks at all), we enable reads/writes/mutations to the graph in parallel from any thread by representing all interactions with the graph as /operations/ enqueued to a lock-free Multi Producer, Single Consumer (MPSC) FIFO queue, with each thread becoming the single consumer /temporarily/ only if there are operations to process.

When an operation is desired (adding a parent to a child, querying the children or parent of a node, etc.) it is enqueued. Then, if the queue contains entries, that thread steals the entire queue - becoming the single consumer of the MPSC queue temporarily - generally only blocking reads by other threads - and only as long as is needed to process the few pending operations that were enqueued.

Lastly, we use lock-free pools of nodes and queue entries to allow for pre-allocating nodes in the graph, and queue entries - potentially based on the applications’ actual measured usage to eliminate runtime allocations in future builds of the program.

API usage

Object relations are accessible through any mach.Objects list, using the following APIs:

  • .is(object_id) returns a bool indicating if the given object is alive, valid, and from this pool of objects.
  • .getParent(child_id) -> returns an error, null, or parent object ID
  • .setParent(child_id, parent_id)
  • .addChild(parent_id, child_id)
  • .removeChild(parent_id, child_id)
  • .getChildren(parent_id) -> returns an error or results object with dynamic-size .items []const ObjectID field
    • Call results.deinit() to return memory for reuse by future getChildren() calls.

Consult the actual code for specific behavior.

That’s all there is to it!

Congratulations, you’ve read all the documentation for the Mach object system!

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Object system: systems

Mach systems are a key concept of the Mach object system. Systems are functions, or a list of systems (functions), that could be run if desired.

Declaring systems

To declare a system, one simply needs to add the name of the system to a pub const mach_systems list in the module:

pub const mach_module = .foo;
+
+// ...
+
+pub const mach_systems = .{ .init, .tick, .deinit };
+

The names written in this list (.init, .tick, .deinit) can be whatever we like, since we’re declaring them.

If a system is named in the mach_systems list, then there must also be a public function or public schedule of the same name in the module:

public function:

pub fn tick() void {
+    // could do something interesting here!
+}
+

public schedule:

pub const init = mach.schedule(.{
+    .{ OtherModule, .init }, // run OtherModule's .init system first,
+    .{ App, .start },        // then afterwards run App's .start system
+});
+

Systems are ultimately just functions (or lists of functions) that could be run if someone wants them to. They don’t do anything by default.

Injected arguments

Above, we wrote a tick system function which had no arguments - system functions actually have injected arguments which means we can accept any Mach module that exists in the whole program as an argument, and when Mach calls the function it will just provide it for you!

pub fn tick(app: *App, other_mod: mach.Mod(Other), other: *Other) void {
+    // Access App modules' global state
+    app.counter += 1;
+
+    // Access Other modules' global state
+    other.counter += 1;
+
+    // Run Other module's system (covered more in the next section)
+    other_mod.run(.tick);
+}
+

This is really powerful because it means that if you suddenly find that one part of your large/complex codebase needs to access another module’s state, or work with another module’s objects, etc. then it can simply write that in its function signature and that’s it! You don’t have to go chase down all the call sites of that function and provide a new parameter - Mach handles it for you.

A consequence of this is that only Mach can provide arguments to your system functions - you cannot pass arbitrary arguments. This is actually a feature to help you write more performant code, which we’ll get into later in the objects section.

Note: you can always write functions that take arbitrary arguments in your Mach module - they just don’t qualify as valid systems.

Running systems

By default, systems don’t run ever. They only run if someone tells Mach to run them. One way to do this is via the mach.Mod(T).run() function, like what we saw in the main.zig example in the modules section:

pub fn main() !void {
+    // ...
+
+    // Pass control to our App.zig module.
+    const app: mach.Mod(App) = mods.get(.app);
+    app.run(.main);
+}
+

As you can see, if we have a Mach module like our App.zig from earlier, then we can use the mach.Mod(App).run function to invoke a system called .main.

Since systems are globally addressible (every system of every module in the entire program is known), and since we know the system name .main at comptime in this case, this can boil down to a simple function call which can even be inlined! There are a few subtle differences from a function call though:

  • Mach knows the name of the system AND the name of the function, and can observe how long the function takes to run - super useful for debugging performance problems!
  • Instead of you passing in the arguments, Mach looks at the function signature and injects whichever are needed!
  • If the system isn’t a function but rather a mach.schedule (list of systems to be ran), Mach runs each one-after-the-other sequentially and can observe each of them independently for debugging purposes!

Callbacks

As mentioned above, mach.Mod(App).run(.fooBar) takes a system name .fooBar that is comptime known. Sometimes you don’t know at compile time what other system you’d like to run.

For example, perhaps your module will handle GUI windows for the application, and you need the user of your module to be able to specify what system should run when it is time to render a new frame to the window. In that case your application might store function IDs:

pub const mach_module = .gui_windows;
+
+// ...
+
+on_render: ?mach.SystemID = null,
+
+pub fn update(windows: *@This(), windows_mod: mach.Mod(@This())) void {
+    // Call whatever function is set in on_render.
+    windows_mod.call(windows.on_render.?);
+}
+

Now your module doesn’t have to be aware of what exact system should run when rendering a frame should happen, and instead the user of your module can register that callback:

pub const mach_module = .app;
+
+pub const mach_systems = .{ .init, .render };
+
+pub fn init(app_mod: mach.Mod(@This()), windows: *Windows) void {
+    // When the windowing library wants to render a new frame, have it run our app's .render system
+    windows.on_render = app_mod.id.render;
+}
+
+pub fn render() void {
+    // ...
+}
+

Note how our App module takes a app_mod parameter: Mach knows how to inject two parameter types:

  • A Module struct M itself (like our App module)
    • Gives access to a module’s global state for example.
  • A mach.Mod(M) struct (like mach.Mod(App)) - typically called e.g. <module>_mod like app_mod
    • Gives access to a app_mod.run(.foo) method which can run that module’s comptime-known systems.
    • Gives access to a app_mod.call(system_id) method which can run any system from any module, given its ID.
    • Gives access to app_mod.id struct, which contains an system ID for every system in that module, e.g. app_mod.id.init and app_mod.id.render would both be valid since our App module has pub const mach_systems = .{ .init, .render };

Systems should run unconditionally

Although you have the ability to call systems at runtime and comptime from within another system’s execution, you generally should avoid running systems conditionally.

For example, let’s say you have two systems - one which spawns monsters, and one which processes newly spawned monsters.

pub fn spawnMonsters(monsters: *Monsters) void {
+    // Maybe spawn some monsters
+    // run processMonsterUpdates
+}
+
+pub fn processNewMonsters(monsters: *Monsters) void {
+    // If there are new monsters, process them.
+}
+

what you should never do is this

pub fn spawnMonsters(monsters: *Monsters, monsters_mod: mach.Mod(Monsters)) void {
+    for (monsters.amount_to_spawn) {
+        // ...
+    }
+
+    // BAD!:
+    if (monsters.amount_to_spawn > 0) monsters_mod.run(.processNewMonsters);
+
+    // GOOD!:
+    // monsters_mod.run(.processNewMonsters);
+}
+

This code conditionally runs the processNewMonsters system only if monsters.amount_to_spawn > 0 - at first this might make sense: If no new monsters were spawned, then why run processNewMonsters? But this is not good because /someone else/ may have spawned monster objects (a debugger, a GUI editor, a different module that recieves updates over a network, etc.) and they won’t know to call processNewMonsters after doing so.

Instead, processNewMonsters should always be run and just written to return quickly if there are no new monsters to process for example.

At this point we should look at objects - because objects are a key concept of the object system which plays into why systems should run unconditionally as well as why system functions cannot have arbitrary arguments: modules communicate via objects!

Continue reading: systems

Object system: objects

\ No newline at end of file diff --git a/docs/roadmap/index.html b/docs/roadmap/index.html index ebd2dbd..6132efc 100644 --- a/docs/roadmap/index.html +++ b/docs/roadmap/index.html @@ -3,4 +3,4 @@ GitHub Discord
\ No newline at end of file + Donate \ No newline at end of file diff --git a/docs/stdlib/index.html b/docs/stdlib/index.html index 184f9ee..ea6ffa3 100644 --- a/docs/stdlib/index.html +++ b/docs/stdlib/index.html @@ -3,7 +3,7 @@ GitHub Discord

Standard library

The Mach standard library can be found at: github.com/hexops/mach - it is modular by design. Just like the Zig standard library, you can choose which parts to use or not.

Thanks to Zig’s lazy code evaluation and lazy dependency fetching, you really only pay for the parts you use.

Choosing your Mach version

0.4 branch (not actively developed, but more stable)

The 0.4 branch is what applications like Pixi and games like #lordofzero (in the Discord) are using. It uses GLFW, WebGPU, and optionally the ECS. It is no longer in development however.

To use this version, see the /v0.4 website mach core getting started guide.

main branch (actively developed, experimental/unstable)

This branch is where active development is happening, we are removing GLFW and WebGPU in favor of our own packages (more details) which means it is not stable - or may not even run - on some OS. At the time of writing Sep 30th, Windows is relatively stable, Linux might work under Wayland, and macOS is not expected to work currently.

To use this version, add the Mach dependency to your build.zig.zon file:

zig fetch --save https://pkg.machengine.org/mach/$LATEST_COMMIT.tar.gz
+ Donate

Standard library

The Mach standard library can be found at: github.com/hexops/mach - it is modular by design. Just like the Zig standard library, you can choose which parts to use or not.

Thanks to Zig’s lazy code evaluation and lazy dependency fetching, you really only pay for the parts you use.

Choosing your Mach version

0.4 branch (not actively developed, but more stable)

The 0.4 branch is what applications like Pixi and games like #lordofzero (in the Discord) are using. It uses GLFW, WebGPU, and optionally the ECS. It is no longer in development however.

To use this version, see the /v0.4 website mach core getting started guide.

main branch (actively developed, experimental/unstable)

This branch is where active development is happening, we are removing GLFW and WebGPU in favor of our own packages (more details) which means it is not stable - or may not even run - on some OS. At the time of writing Sep 30th, Windows is relatively stable, Linux might work under Wayland, and macOS is not expected to work currently.

To use this version, add the Mach dependency to your build.zig.zon file:

zig fetch --save https://pkg.machengine.org/mach/$LATEST_COMMIT.tar.gz
 

Using the dependency

Then make it importable by your code in build.zig, e.g.:

pub fn build(b: *std.Build) void {
     // ...
 
diff --git a/docs/zig-version/index.html b/docs/zig-version/index.html
index af76204..511f68c 100644
--- a/docs/zig-version/index.html
+++ b/docs/zig-version/index.html
@@ -3,4 +3,4 @@
 GitHub
 Discord
 

Zig version

Mach nominates specific Zig nightly versions periodically, these are what Mach is built and tested against. Other versions, such as stable or latest-nightly releases, are usually incompatible.

We encourage using Mach nightly (main, rather than a tagged release) for now.

Supported Zig versions

Mach versionZig version
latest mainZig 2024.10.0-mach
v0.4Zig 2024.5.0-mach
v0.3Zig 2024.1.0-mach
v0.2v0.11.0

Table of contents

\ No newline at end of file + Donate

Zig version

Mach nominates specific Zig nightly versions periodically, these are what Mach is built and tested against. Other versions, such as stable or latest-nightly releases, are usually incompatible.

We encourage using Mach nightly (main, rather than a tagged release) for now.

Supported Zig versions

Mach versionZig version
latest mainZig 2024.10.0-mach
v0.4Zig 2024.5.0-mach
v0.3Zig 2024.1.0-mach
v0.2v0.11.0

Table of contents

\ No newline at end of file diff --git a/index.xml b/index.xml index 12b3ec8..19ab280 100644 --- a/index.xml +++ b/index.xml @@ -18,7 +18,12 @@ with import &lt;nixpkgs&gt; {}; mkShell { NIX_LD_LIBRARY_PATH = lib.make or view the old version of this page.Nominated Zig versionshttps://machengine.org/docs/nominated-zig/Mon, 01 Jan 0001 00:00:00 +0000https://machengine.org/docs/nominated-zig/Nominated Zig versions Periodically we nominate a new Zig nightly version which all Mach projects target and use. We encourage others to adopt the same Zig version Mach uses, since Zig packages which target latest nightly (or the latest stable release) will very often be incompatible otherwise. Why nominated Zig versions, instead of nightly or stable? TL;DR: it&rsquo;s a sweetspot between stable and nightly. -Stable releases occur just once or twice per year, nominated Zig versions occur several times per year - but not every day like nightly.Platform supporthttps://machengine.org/about/platforms/Mon, 01 Jan 0001 00:00:00 +0000https://machengine.org/about/platforms/Platform support We aim to support a broad array of operating systems and architectures, as long as they are reasonably used by desktop/mobile consumers, or someone would like to contribute and maintain support for them. +Stable releases occur just once or twice per year, nominated Zig versions occur several times per year - but not every day like nightly.Object system: moduleshttps://machengine.org/docs/object/modules/Mon, 01 Jan 0001 00:00:00 +0000https://machengine.org/docs/object/modules/Object system: modules Mach modules are a key concept of the Mach object system. Mach modules (not to be confused with Zig modules, although they are very similar) are the &lsquo;building blocks&rsquo; used to organize everything in Mach itself, as well as in your own application. You can pick and choose which modules your program uses, import third-party libraries that provide modules, etc. +Examples of modules: a physics engine, a 2D sprite renderer, a text renderer, a scene manager, your application&rsquo;s main logic, etc.Object system: objectshttps://machengine.org/docs/object/objects/Mon, 01 Jan 0001 00:00:00 +0000https://machengine.org/docs/object/objects/Object system: objects Mach objects are a key concept of the Mach object system and are used to represent everything from virtual objects like textures and shaders, to visual in-game objects and more! +Declaring objects Objects are declared just like a modules&rsquo; global state fields - the only difference is the data type of the struct field. For example, here is a dynamically-sized list of monster objects where each monster can have health and damage values:Object system: relationshttps://machengine.org/docs/object/relations/Mon, 01 Jan 0001 00:00:00 +0000https://machengine.org/docs/object/relations/Object system: relations Mach object relations are a key concept of the Mach object system and enable you to arbitrarily create parent-child relations between objects. +Among other things, this allows for attaching your own arbitrary data to someone else&rsquo;s object - a form of relaxed type constraint which enable you to quickly iterate on your codebase. *Mach&rsquo;s object system is not an Entity Component System (it&rsquo;s better!), but ECS typically enables this form of relaxed type constraint to enable fast iteration - and object relations are how we provide this flexibility.Object system: systemshttps://machengine.org/docs/object/systems/Mon, 01 Jan 0001 00:00:00 +0000https://machengine.org/docs/object/systems/Object system: systems Mach systems are a key concept of the Mach object system. Systems are functions, or a list of systems (functions), that could be run if desired. +Declaring systems To declare a system, one simply needs to add the name of the system to a pub const mach_systems list in the module: +pub const mach_module = .foo; // ... pub const mach_systems = .{ .init, .tick, .deinit }; The names written in this list (.Platform supporthttps://machengine.org/about/platforms/Mon, 01 Jan 0001 00:00:00 +0000https://machengine.org/about/platforms/Platform support We aim to support a broad array of operating systems and architectures, as long as they are reasonably used by desktop/mobile consumers, or someone would like to contribute and maintain support for them. OS x86_64 aarch64 WebAssembly notes macOS 🏃 🏃 last 3 major versions supported; Windows 🏃 🏃 windows 7+ supported; ARM support is WIP Linux 🏃 🏃 SteamOS (deck) 🏃 truly native (Vulkan); no controller/OS integration yet; demo video Browser 🏃 WebGPU not working; audio, input, recompile-on-reload, etc.Project goalshttps://machengine.org/about/goals/Mon, 01 Jan 0001 00:00:00 +0000https://machengine.org/about/goals/Project goals This page covers general project goals of Mach. Besides what you see on the homepage, we care about.. Zero-fuss installation All too often we see people get a sudden burst of inspiration: "I'm going to finally start my game/app this weekend!" only to see them utlimately get bogged down by setting up their dev environment, ending their weekend with "well.. at least I got the hello world running" - there is no greater drain on human inspiration.Roadmaphttps://machengine.org/docs/roadmap/Mon, 01 Jan 0001 00:00:00 +0000https://machengine.org/docs/roadmap/Roadmap There is a long road ahead: it&rsquo;s going to require a lot of work and time to get to where we are going. You can find the roadmap hereStabilityhttps://machengine.org/about/stability/Mon, 01 Jan 0001 00:00:00 +0000https://machengine.org/about/stability/Stability This page no longer exists. Maybe you want to view the old version of this page.Standard libraryhttps://machengine.org/docs/stdlib/Mon, 01 Jan 0001 00:00:00 +0000https://machengine.org/docs/stdlib/Standard library The Mach standard library can be found at: github.com/hexops/mach - it is modular by design. 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