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37 commits

Author SHA1 Message Date
d79383a7df
cleanup: remove unneeded source format in read instruction
The image crate is able to infer the format, so that data is redundant
2024-01-23 12:40:25 +01:00
10886be00a
docs(design): add term list 2024-01-21 22:11:41 +01:00
63d7993940
chore: remove confusing comment 2024-01-21 21:28:35 +01:00
bbde1c84ca
chore: move error handling todos from msgs into comments 2024-01-21 21:08:27 +01:00
98f4a6cdeb
chore: use to_owned instead of to_string 2024-01-21 21:00:36 +01:00
1df57eba6b
chore: remove accidental whitespace at end of line 2024-01-21 04:23:53 +01:00
3e208335c3
feat: get full evaluation back online
Very hacky, but this is enough to be finished with the graph IR for now.
2024-01-21 04:21:33 +01:00
3c529c3a1a
chore: rename executor -> evaluator and integrate into app 2024-01-21 03:22:46 +01:00
de9ca81b65
chore: appease clippy 2024-01-20 21:47:33 +01:00
c4207af8da
repo: rename executor -> eval 2024-01-20 21:36:40 +01:00
23fadce867
fix: glue with app from #7 2024-01-20 21:32:25 +01:00
98c9399ee4
feat: nicer debug repr for instr id and socketidx 2024-01-20 21:13:11 +01:00
8b6f9810df
docs(ir): clarify localness of socketidx 2024-01-20 21:13:11 +01:00
cdf42417da
refactor(ir): use u64 directly instead of spans for instructions 2024-01-20 21:13:11 +01:00
87343f0a38
meta: add license 2024-01-20 21:13:11 +01:00
5a209ab5af
docs: fix typo 2024-01-20 21:13:11 +01:00
fa2893bc77
feat(ir): actually get toposort working 2024-01-20 21:13:11 +01:00
4fd35736d5
feat(ir): rethink logic for finding vertices with no inputs 2024-01-20 21:13:10 +01:00
66639771ac
feat(ir): dependents and dependencies 2024-01-20 21:13:07 +01:00
29269e2fcd
feat(ir): implement resolve functionality (untested) 2024-01-20 21:12:43 +01:00
d8e08459a0
docs: ensure docs are well-linked, fed and washed 2024-01-20 21:12:43 +01:00
6395efbeab
chore: extract id stuff into its own file 2024-01-20 21:12:43 +01:00
ca8cf0cc52
chore: put semi human graph ir into its own module 2024-01-20 21:12:43 +01:00
ee675de202
feat: add semi-human-readable-and-writable-ir 2024-01-20 21:12:43 +01:00
4db6eb4317
feat(cli): don't require executor arg anymore 2024-01-20 21:12:42 +01:00
23ffbe39dc
chore: format a bit and add just fmt 2024-01-20 21:12:09 +01:00
1c3012fb32
docs: fix typo 2024-01-20 21:12:09 +01:00
fcf7e909ee
feat(ir): replace Rpl with GraphIr
Semi-broken as atm the CLI just does nothing except printing the parsed
IR, instead of actually executing it.
2024-01-20 21:12:08 +01:00
ccbccfb11b
style: drop Instruction suffix from instructions 2024-01-20 21:11:33 +01:00
c0dd533d81
docs(template): make outline rendering configurable 2024-01-20 21:11:33 +01:00
d1001ad90d
docs: retab from tabs to 2 spaces 2024-01-20 21:11:33 +01:00
77d1236720
test: prettify TEST_DATA over multiple lines 2024-01-20 21:11:33 +01:00
5bf277cf14
test: fix running tests 2024-01-20 21:11:32 +01:00
8f3c426359
style: propagate clippy lints throughout workspace 2024-01-20 21:11:31 +01:00
f445a03fb2
docs: microoptimize graph a bit 2024-01-20 21:10:50 +01:00
816602fb2e
fix: take care of clippy warnings and add test image 2024-01-20 21:10:49 +01:00
24ebca3e8d
repo: make build possible 2024-01-20 21:10:49 +01:00
46 changed files with 1857 additions and 445 deletions

4
.gitignore vendored
View file

@ -3,4 +3,6 @@
/target
.pre-commit-config.yaml
*.pdf
*.png
/docs/*.png
/testfiles/gen/*
!/testfiles/gen/.gitkeep

View file

@ -14,7 +14,7 @@ Before we get started, thank you for thinking about doing so!
- How did you install iOwO?
- What version of iOwO are you running?
- What operating system are you running?
In the case of a Linux distro, mention the specific distro and when you last update as well.
In the case of a Linux distro, mention the specific distro and when you last updated as well.
- If the bug causes a crash, try to get a backtrace or in worse cases, a coredump.
### Feature requests

33
Cargo.lock generated
View file

@ -63,6 +63,8 @@ dependencies = [
"ariadne",
"clap",
"dirs",
"eval",
"ir",
"owo-colors",
"ron",
"serde",
@ -266,12 +268,13 @@ source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "a26ae43d7bcc3b814de94796a5e736d4029efb0ee900c12e2d54c993ad1a1e07"
[[package]]
name = "executor"
name = "eval"
version = "0.1.0"
dependencies = [
"clap",
"image",
"rpl",
"ir",
"serde",
]
[[package]]
@ -373,6 +376,15 @@ dependencies = [
"tiff",
]
[[package]]
name = "ir"
version = "0.1.0"
dependencies = [
"either",
"ron",
"serde",
]
[[package]]
name = "itoa"
version = "1.0.10"
@ -482,15 +494,6 @@ version = "4.0.0"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "caff54706df99d2a78a5a4e3455ff45448d81ef1bb63c22cd14052ca0e993a3f"
[[package]]
name = "pl-cli"
version = "0.1.0"
dependencies = [
"clap",
"executor",
"rpl",
]
[[package]]
name = "png"
version = "0.17.10"
@ -589,14 +592,6 @@ dependencies = [
"serde_derive",
]
[[package]]
name = "rpl"
version = "0.1.0"
dependencies = [
"ron",
"serde",
]
[[package]]
name = "ryu"
version = "1.0.16"

View file

@ -1,20 +1,24 @@
[workspace]
members = [
"crates/app",
"crates/executor",
"crates/rpl"
"crates/eval",
"crates/ir",
]
resolver = "2"
[workspace.dependencies]
clap = { version = "4", features = [ "derive" ] }
serde = { version = "1.0", features = [ "derive" ] }
clap = { version = "4", features = ["derive"] }
serde = { version = "1.0", features = ["derive"] }
[lints.rust]
# to enable all the lints below, this must be present in a workspace member's Cargo.toml:
# [lints]
# workspace = true
[workspace.lints.rust]
unsafe_code = "deny"
variant_size_differences = "warn"
[lints.clippy]
[workspace.lints.clippy]
branches_sharing_code = "warn"
clone_on_ref_ptr = "warn"
cognitive_complexity = "warn"

676
LICENSE Normal file
View file

@ -0,0 +1,676 @@
The main program and its libraries are licensed under the AGPL 3.0
as listed below the separator line.
Media samples in the testfiles folder are licensed under CC BY-SA 4.0.
To view a copy of this license, visit http://creativecommons.org/licenses/by-sa/4.0/
The appropiate authors are given below, in the format of
`- file/path: author (link to author)`
- testfiles/rails.png: Schrottkatze (https://forge.katzen.cafe/schrottkatze)
===============================================================================
iOwO: media pipeline toolset
Copyright (C) 2024 Schrottkatze, MultisampledNight and iOwO contributors
GNU AFFERO GENERAL PUBLIC LICENSE
Version 3, 19 November 2007
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possible use to the public, the best way to achieve this is to make it
free software which everyone can redistribute and change under these terms.
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state the exclusion of warranty; and each file should have at least
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it under the terms of the GNU Affero General Public License as published by
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but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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along with this program. If not, see <https://www.gnu.org/licenses/>.
Also add information on how to contact you by electronic and paper mail.
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network, you should also make sure that it provides a way for users to
get its source. For example, if your program is a web application, its
interface could display a "Source" link that leads users to an archive
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You should also get your employer (if you work as a programmer) or school,
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For more information on this, and how to apply and follow the GNU AGPL, see
<https://www.gnu.org/licenses/>.

View file

@ -6,11 +6,16 @@ edition = "2021"
# See more keys and their definitions at https://doc.rust-lang.org/cargo/reference/manifest.html
[dependencies]
clap = { workspace = true, features = [ "derive", "env" ] }
serde = { workspace = true, features = [ "derive" ] }
ron = "0.8"
serde_json = "1.0"
ariadne = "0.4"
time = { version = "0.3", features = [ "local-offset" ] }
clap = { workspace = true, features = [ "derive", "env" ] }
dirs = "5"
eval = { path = "../eval" }
ir = { path = "../ir" }
owo-colors = "4"
ron = "0.8"
serde = { workspace = true, features = [ "derive" ] }
serde_json = "1.0"
time = { version = "0.3", features = [ "local-offset" ] }
[lints]
workspace = true

View file

@ -1,3 +1,5 @@
use std::path::PathBuf;
use clap::Parser;
use self::{
@ -10,6 +12,9 @@ mod config_file;
/// this struct may hold all configuration
pub struct Config {
pub source: PathBuf,
pub evaluator: eval::Available,
pub startup_msg: bool,
}
@ -17,37 +22,37 @@ impl Config {
/// Get the configs from all possible places (args, file, env...)
pub fn read() -> Self {
let args = Args::parse();
let config_path = if let Some(config_path) = args.config_path {
Ok(config_path)
let config = if let Some(config) = args.config_path {
Ok(config)
} else {
find_config_file()
};
// try to read a maybe existing config file
let file_config = if let Ok(config_path) = config_path {
let file_config = Configs::read(config_path);
match file_config {
Ok(c) => Some(c),
Err(e) => {
let config = config.ok().and_then(|path| {
Configs::read(path).map_or_else(
|e| {
eprintln!("Config error: {e:?}");
eprintln!("Proceeding with defaults or cli args...");
None
}
}
} else {
None
};
},
Some,
)
});
if let Some(file_config) = file_config {
if let Some(file) = config {
Self {
source: args.source,
evaluator: args.evaluator.and(file.evaluator).unwrap_or_default(),
// this is negated because to an outward api, the negative is more intuitive,
// while in the source the other way around is more intuitive
startup_msg: !(args.no_startup_message || file_config.no_startup_message),
startup_msg: !(args.no_startup_message || file.no_startup_message),
}
} else {
Self {
source: args.source,
startup_msg: !args.no_startup_message,
evaluator: args.evaluator.unwrap_or_default(),
}
}
}
@ -56,7 +61,7 @@ impl Config {
pub mod error {
/// Errors that can occur when reading configs
#[derive(Debug)]
pub enum ConfigError {
pub enum Config {
/// The config dir doesn't exist
NoConfigDir,
/// We didn't find a config file in the config dir
@ -73,19 +78,19 @@ pub mod error {
SerdeRonError(ron::error::SpannedError),
}
impl From<std::io::Error> for ConfigError {
impl From<std::io::Error> for Config {
fn from(value: std::io::Error) -> Self {
Self::IoError(value)
}
}
impl From<serde_json::Error> for ConfigError {
impl From<serde_json::Error> for Config {
fn from(value: serde_json::Error) -> Self {
Self::SerdeJsonError(value)
}
}
impl From<ron::error::SpannedError> for ConfigError {
impl From<ron::error::SpannedError> for Config {
fn from(value: ron::error::SpannedError) -> Self {
Self::SerdeRonError(value)
}

View file

@ -4,6 +4,14 @@ use clap::{builder::BoolishValueParser, ArgAction, Parser};
#[derive(Parser)]
pub(crate) struct Args {
/// What file contains the pipeline to evaluate.
pub source: PathBuf,
/// How to actually run the pipeline.
/// Overrides the config file. Defaults to the debug evaluator.
#[arg(short, long)]
pub evaluator: Option<eval::Available>,
/// Read this config file.
#[arg(short, long)]
pub config_path: Option<PathBuf>,

View file

@ -5,7 +5,7 @@ use std::{
use serde::{Deserialize, Serialize};
use super::error::ConfigError;
use super::error::Config;
#[derive(Debug, Serialize, Deserialize)]
pub struct Configs {
@ -13,6 +13,7 @@ pub struct Configs {
pub example_value: i32,
#[serde(default)]
pub no_startup_message: bool,
pub evaluator: Option<eval::Available>,
}
/// what the fuck serde why do i need this
@ -21,9 +22,9 @@ fn default_example_value() -> i32 {
}
/// Find the location of a config file and check if there is, in fact, a file
pub(super) fn find_config_file() -> Result<PathBuf, ConfigError> {
pub(super) fn find_config_file() -> Result<PathBuf, Config> {
let Some(config_path) = dirs::config_dir() else {
return Err(ConfigError::NoConfigDir);
return Err(Config::NoConfigDir);
};
let ron_path = config_path.with_file_name("config.ron");
@ -34,16 +35,19 @@ pub(super) fn find_config_file() -> Result<PathBuf, ConfigError> {
} else if Path::new(&json_path).exists() {
Ok(json_path)
} else {
Err(ConfigError::NoConfigFileFound)
Err(Config::NoConfigFileFound)
}
}
impl Configs {
pub fn read(p: PathBuf) -> Result<Self, ConfigError> {
match p.extension().map(|v| v.to_str().unwrap()) {
pub fn read(p: PathBuf) -> Result<Self, Config> {
match p
.extension()
.map(|v| v.to_str().expect("config path to be UTF-8"))
{
Some("ron") => Ok(serde_json::from_str(&fs::read_to_string(p)?)?),
Some("json") => Ok(ron::from_str(&fs::read_to_string(p)?)?),
e => Err(ConfigError::UnknownExtension(e.map(|v| v.to_owned()))),
e => Err(Config::UnknownExtension(e.map(str::to_owned))),
}
}
}

View file

@ -3,12 +3,12 @@ use std::process;
use ron::error::Position;
/// Report an `Error` from the `serde_json` crate
pub fn report_serde_json_err(src: &str, err: serde_json::Error) -> ! {
pub fn report_serde_json_err(src: &str, err: &serde_json::Error) -> ! {
report_serde_err(src, err.line(), err.column(), err.to_string())
}
/// Report a `SpannedError` from the `ron` crate
pub fn report_serde_ron_err(src: &str, err: ron::error::SpannedError) -> ! {
pub fn report_serde_ron_err(src: &str, err: &ron::error::SpannedError) -> ! {
let Position { line, col } = err.position;
report_serde_err(src, line, col, err.to_string())
}
@ -23,8 +23,8 @@ fn report_serde_err(src: &str, line: usize, col: usize, msg: String) -> ! {
.with_message(msg)
.with_note("We'd like to give better errors, but serde errors are horrible to work with...")
.finish()
.print(("test", Source::from(src)))
.unwrap();
.eprint(("test", Source::from(src)))
.expect("writing error to stderr failed");
process::exit(1);
}

View file

@ -1,3 +1,5 @@
use std::fs;
use config::Config;
use welcome_msg::print_startup_msg;
@ -8,10 +10,18 @@ mod error_reporting;
mod welcome_msg;
fn main() {
// TODO: proper error handling
// TODO: proper error handling across the whole function
// don't forget to also look inside `Config`
let cfg = Config::read();
if cfg.startup_msg {
print_startup_msg();
}
let source = fs::read_to_string(cfg.source).expect("can't find source file");
let ir = ir::from_ron(&source).expect("failed to parse source to graph ir");
let mut machine = cfg.evaluator.pick();
machine.feed(ir);
machine.eval_full();
}

View file

@ -1,5 +1,5 @@
[package]
name = "executor"
name = "eval"
version = "0.1.0"
edition = "2021"
@ -8,4 +8,8 @@ edition = "2021"
[dependencies]
clap = { workspace = true, features = [ "derive" ] }
image = "0.24"
rpl = { path = "../rpl" }
ir = { path = "../ir" }
serde = { workspace = true }
[lints]
workspace = true

View file

@ -0,0 +1,45 @@
pub mod read {
use image::{io::Reader as ImageReader, DynamicImage};
use ir::instruction::read::{Read, SourceType};
pub fn read(Read { source }: Read) -> DynamicImage {
// TODO: actual error handling
let img = ImageReader::open(match source {
SourceType::File(path) => path,
})
.expect("something went wrong :(((");
img.decode().expect("couldn't decode image")
}
}
pub mod write {
use image::{DynamicImage, ImageFormat};
use ir::instruction::write::{TargetFormat, TargetType, Write};
pub fn write(Write { target, format }: Write, input_data: &DynamicImage) {
// TODO: actual error handling
input_data
.save_with_format(
match target {
TargetType::File(path) => path,
},
match format {
TargetFormat::Jpeg => ImageFormat::Jpeg,
TargetFormat::Png => ImageFormat::Png,
},
)
.expect("couldn't save file");
}
}
pub mod filters {
pub mod invert {
use image::DynamicImage;
pub fn invert(mut input_data: DynamicImage) -> DynamicImage {
input_data.invert();
input_data
}
}
}

View file

@ -0,0 +1,105 @@
use ir::{
id,
instruction::{Filter, Kind},
GraphIr, Instruction, Map,
};
use crate::value::Variant;
mod instr;
#[derive(Debug, Default)]
pub struct Evaluator {
ir: GraphIr,
/// What the output of each individual streamer, and as result its output sockets, is.
/// Grows larger as evaluation continues,
/// as there's no mechanism for purging never-to-be-used-anymore instructions yet.
evaluated: Map<id::Output, Variant>,
}
impl crate::Evaluator for Evaluator {
fn feed(&mut self, ir: GraphIr) {
self.ir = ir;
self.evaluated.clear();
}
fn eval_full(&mut self) {
// GraphIr::topological_sort returns InstructionRefs, which are mostly cool
// but we'd like to have them owned, so we can call Self::step without lifetime hassle
let queue: Vec<Instruction> = self
.ir
.topological_sort()
.into_iter()
.map(Into::into)
.collect();
for instr in queue {
self.step(instr);
}
}
}
impl Evaluator {
#[allow(clippy::needless_pass_by_value)]
fn step(&mut self, instr: Instruction) {
// what inputs does this instr need? fetch them
let inputs: Vec<_> = instr
.input_sources()
.iter()
.map(|source| {
let source_socket = source
.as_ref()
.expect("all inputs to be connected when an instruction is ran");
self.evaluated
.get(source_socket)
.expect("toposort to yield later instrs only after previous ones")
})
.collect();
// then actually do whatever the instruction should do
// NOTE: makes heavy use of index slicing,
// on the basis that ir::instruction::Kind::socket_count is correct
// TODO: make this a more flexible dispatch-ish arch
let output = match instr.kind {
Kind::Read(details) => Some(Variant::Image(instr::read::read(details))),
Kind::Write(details) => {
#[allow(irrefutable_let_patterns)] // will necessarily change
let Variant::Image(input) = inputs[0] else {
panic!("cannot only write images, but received: `{:?}`", inputs[0]);
};
instr::write::write(details, input);
None
}
Kind::Math(_) => todo!(),
Kind::Blend(_) => todo!(),
Kind::Noise(_) => todo!(),
Kind::Filter(filter_instruction) => match filter_instruction {
Filter::Invert => {
#[allow(irrefutable_let_patterns)]
let Variant::Image(input) = inputs[0] else {
panic!(
"cannot only filter invert images, but received: `{:?}`",
inputs[0]
);
};
Some(Variant::Image(instr::filters::invert::invert(
input.clone(),
)))
}
},
};
if let Some(output) = output {
// TODO: very inaccurate, actually respect individual instructions.
// should be implied by a different arch
// TODO: all of those should not be public, offer some methods to get this on
// `Instruction` instead (can infer short-term based on Kind::socket_count)
let socket = id::Output(id::Socket {
belongs_to: instr.id,
idx: id::SocketIdx(0),
});
self.evaluated.insert(socket, output);
}
}
}

View file

@ -0,0 +1 @@
pub mod debug;

43
crates/eval/src/lib.rs Normal file
View file

@ -0,0 +1,43 @@
use ir::GraphIr;
mod kind;
mod value;
/// Can collapse a [`GraphIr`] in meaningful ways and do interesting work on it.
///
/// It's surprisingly difficult to find a fitting description for this.
pub trait Evaluator {
/// Take some [`GraphIr`] which will then be processed later.
/// May be called multiple times, in which the [`GraphIr`]s should add up.
// TODO: atm they definitely don't add up -- add some functionality to GraphIr to
// make it combine two graphs into one
fn feed(&mut self, ir: GraphIr);
/// Walk through the _whole_ [`GraphIr`] and run through each instruction.
fn eval_full(&mut self);
// TODO: for an LSP or the like, eval_single which starts at a given instr
}
/// The available [`Evaluator`]s.
///
/// Checklist for adding new ones:
///
/// 1. Create a new module under the [`kind`] module.
/// 2. Add a struct and implement [`Evaluator`] for it.
#[derive(Clone, Copy, Debug, Default, clap::ValueEnum, serde::Deserialize, serde::Serialize)]
pub enum Available {
/// Runs fully on the CPU. Single-threaded, debug-friendly and quick to implement.
#[default]
Debug,
}
impl Available {
/// Selects the [`Evaluator`] corresponding to this label.
#[must_use]
pub fn pick(&self) -> Box<dyn Evaluator> {
match self {
Self::Debug => Box::new(kind::debug::Evaluator::default()),
}
}
}

View file

@ -0,0 +1,12 @@
use image::DynamicImage;
/// Any runtime value that an instruction can input or output.
///
/// The name is taken from [Godot's `Variant` type],
/// which is very similar to this one.
///
/// [Godot's `Variant` type]: https://docs.godotengine.org/en/stable/classes/class_variant.html
#[derive(Clone, Debug)]
pub enum Variant {
Image(DynamicImage),
}

View file

@ -1 +0,0 @@
pub(crate) struct CpuExecutor;

View file

@ -1,41 +0,0 @@
pub mod read {
use image::{io::Reader as ImageReader, DynamicImage};
use rpl::instructions::read::{Read, SourceType};
pub fn read(Read { source, format }: Read) -> DynamicImage {
let mut img = ImageReader::open(match source {
SourceType::File(path) => path,
})
.expect("something went wrong :(((");
img.decode().expect("couldn't decode image")
}
}
pub mod write {
use image::{io::Reader as ImageReader, DynamicImage, ImageFormat};
use rpl::instructions::write::{TargetFormat, TargetType, Write};
pub fn write(Write { target, format }: Write, input_data: DynamicImage) {
input_data.save_with_format(
match target {
TargetType::File(path) => path,
},
match format {
TargetFormat::Jpeg => ImageFormat::Jpeg,
TargetFormat::Png => ImageFormat::Png,
},
);
}
}
pub mod filters {
pub mod invert {
use image::DynamicImage;
pub fn invert(mut input_data: DynamicImage) -> DynamicImage {
input_data.invert();
input_data
}
}
}

View file

@ -1,37 +0,0 @@
use rpl::instructions::{FilterInstruction, Instruction};
use crate::{value::DynamicValue, Executor};
mod instructions;
pub struct DebugExecutor;
impl Executor for DebugExecutor {
fn execute(instruction: Instruction, input: Option<DynamicValue>) -> Option<DynamicValue> {
match instruction {
Instruction::Read(read_instruction) => Some(DynamicValue::Image(
instructions::read::read(read_instruction),
)),
Instruction::Write(write_instruction) => {
instructions::write::write(
write_instruction,
match input {
Some(DynamicValue::Image(img)) => img,
_ => panic!("awawwawwa"),
},
);
None
}
Instruction::Math(_) => todo!(),
Instruction::Blend(_) => todo!(),
Instruction::Noise(_) => todo!(),
Instruction::Filter(filter_instruction) => match filter_instruction {
FilterInstruction::Invert => Some(DynamicValue::Image(
instructions::filters::invert::invert(match input {
Some(DynamicValue::Image(img)) => img,
_ => panic!("invalid value type for invert"),
}),
)),
},
}
}
}

View file

@ -1,38 +0,0 @@
use rpl::instructions::Instruction;
use value::DynamicValue;
mod debug;
mod value;
/// The available executors
/// unused in early dev.
#[derive(Debug, Clone, Copy, clap::ValueEnum)]
pub enum Executors {
/// the debug executor is single threaded and really, *really* slow. And unstable. Don't use. Unless you're a dev working on this.
Debug,
/// the CPU executor primarily uses the CPU. Most likely most feature complete, and the fallback.
Cpu,
/// the Vulkan executor (obviously) uses vulkan. there's a good chance this isn't implemented yet as you're reading this.
Vulkan,
}
trait Executor {
fn execute(instruction: Instruction, input: Option<DynamicValue>) -> Option<DynamicValue>;
}
pub fn execute_all(instructions: Vec<Instruction>) {
let mut tmp = None;
for instruction in instructions {
tmp = debug::DebugExecutor::execute(instruction, tmp);
}
}
// scratchpad lol:
// execution structure:
// 1. take in rpl
// 2. analyse/validate structure against allowed executors
// 3. assign executors to instructions
// 4. optimize
// 5. prepare memory management patterns
// 6. run

View file

@ -1,5 +0,0 @@
use image::DynamicImage;
pub enum DynamicValue {
Image(DynamicImage),
}

View file

@ -1,10 +1,14 @@
[package]
name = "rpl"
name = "ir"
version = "0.1.0"
edition = "2021"
# See more keys and their definitions at https://doc.rust-lang.org/cargo/reference/manifest.html
[dependencies]
serde = { workspace = true, features = [ "derive" ] }
either = "1.9"
ron = "0.8"
serde = { version = "1.0.193", features = ["derive"] }
[lints]
workspace = true

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crates/ir/src/id.rs Normal file
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//! Instance identification for instructions and their glue.
//!
//! Instructions as defined in [`crate::instruction::Kind`] and descendants are very useful,
//! but they cannot be directly used as vertices in the graph IR,
//! as there may easily be multiple instructions of the same kind in the same program.
//!
//! Instead, this module offers an alternative way to refer to specific instances:
//!
//! - [`Instruction`]s are effectively just a number floating in space,
//! incremented each time a new instruction is referred to.
//! - [`Socket`]s contain
//! - what [`Instruction`] they belong to
//! - which index they occupy on it
//!
//! The distinction between [`Input`] and [`Output`] is implemented
//! as them being different types.
use std::fmt;
use serde::{Deserialize, Serialize};
/// One specific instruction.
///
/// It does **not** contain what kind of instruction this is.
/// Refer to [`crate::instruction::Kind`] for this instead.
#[derive(Clone, PartialEq, Eq, PartialOrd, Ord, Hash, Serialize, Deserialize)]
pub struct Instruction(pub(super) u64);
impl fmt::Debug for Instruction {
fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result {
write!(f, "InstrId {}", self.0)
}
}
/// On an **instruction**, accepts incoming data.
///
/// An **instruction** cannot run if any of these are not connected.
#[derive(Clone, Debug, PartialEq, Eq, PartialOrd, Ord, Hash, Serialize, Deserialize)]
pub struct Input(pub(super) Socket);
impl Input {
#[must_use]
pub fn socket(&self) -> &Socket {
&self.0
}
}
/// On an **instruction**, returns outgoing data to be fed to [`Input`]s.
///
/// In contrast to [`Input`]s, [`Output`]s may be used or unused.
#[derive(Clone, Debug, PartialEq, Eq, PartialOrd, Ord, Hash, Serialize, Deserialize)]
pub struct Output(pub Socket); // TODO: Restrict publicness to super
impl Output {
#[must_use]
pub fn socket(&self) -> &Socket {
&self.0
}
}
/// An unspecified socket on a specific **instruction**,
/// and where it is on that **instruction**.
#[derive(Clone, Debug, PartialEq, Eq, PartialOrd, Ord, Hash, Serialize, Deserialize)]
pub struct Socket {
pub belongs_to: Instruction,
pub idx: SocketIdx,
}
/// Where a [`Socket`] is on one **instruction**.
///
/// Note that this does **not** identify a [`Socket`] globally.
/// There may be multiple [`Socket`]s sharing the same [`SocketIdx`],
/// but on different [`Instruction`]s.
///
/// This really only serves for denoting where a socket is,
/// when it's already clear which instruction is referred to.
#[derive(Clone, PartialEq, Eq, PartialOrd, Ord, Hash, Serialize, Deserialize)]
pub struct SocketIdx(pub u16); // TODO: Restrict publicness to super
impl fmt::Debug for SocketIdx {
fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result {
self.0.fmt(f)
}
}

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use serde::{Deserialize, Serialize};
pub mod read;
pub mod write;
#[derive(Clone, Debug, PartialEq, Eq, PartialOrd, Ord, Hash, Serialize, Deserialize)]
pub enum Kind {
// TODO: `read::Read` and `write::Write` hold real values atm -- they should actually
// point to `Const` instructions instead (which are... yet to be done...)
Read(read::Read),
Write(write::Write),
Math(Math),
Blend(Blend),
Noise(Noise),
Filter(Filter),
}
#[derive(Clone, Debug, PartialEq, Eq, PartialOrd, Ord, Hash, Serialize, Deserialize)]
pub enum Math {
Add,
Subtract,
Multiply,
Divide,
}
#[derive(Clone, Debug, PartialEq, Eq, PartialOrd, Ord, Hash, Serialize, Deserialize)]
pub enum Blend {
Normal,
Multiply,
Additive,
Overlay,
Screen,
Subtractive,
Difference,
Darken,
Lighten,
}
#[derive(Clone, Debug, PartialEq, Eq, PartialOrd, Ord, Hash, Serialize, Deserialize)]
pub enum Noise {
Perlin,
Simplex,
Voronoi,
}
#[derive(Clone, Debug, PartialEq, Eq, PartialOrd, Ord, Hash, Serialize, Deserialize)]
pub enum Filter {
Invert,
}
// TODO: given that this basically matches on all instructions, we may need to use
// the visitor pattern in future here, or at least get them behind traits
// which should allow far more nuanced description
impl Kind {
/// Returns how many sockets this kind of instruction has.
#[must_use]
pub fn socket_count(&self) -> SocketCount {
match self {
Self::Read(_) => (0, 1),
Self::Write(_) => (1, 0),
Self::Math(_) | Self::Blend(_) => (2, 1),
Self::Noise(_) => {
todo!("how many arguments does noise take? how many outputs does it have?")
}
Self::Filter(Filter::Invert) => (1, 1),
}
.into()
}
}
/// How many sockets are on an instruction?
pub struct SocketCount {
pub inputs: u16,
pub outputs: u16,
}
impl From<(u16, u16)> for SocketCount {
fn from((inputs, outputs): (u16, u16)) -> Self {
Self { inputs, outputs }
}
}

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use serde::{Deserialize, Serialize};
use std::path::PathBuf;
#[derive(Clone, Debug, PartialEq, Eq, PartialOrd, Ord, Hash, Serialize, Deserialize)]
pub struct Read {
pub source: SourceType,
}
#[derive(Clone, Debug, PartialEq, Eq, PartialOrd, Ord, Hash, Serialize, Deserialize)]
pub enum SourceType {
File(PathBuf),
}

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use serde::{Deserialize, Serialize};
use std::path::PathBuf;
#[derive(Clone, Debug, PartialEq, Eq, PartialOrd, Ord, Hash, Serialize, Deserialize)]
pub struct Write {
pub target: TargetType,
pub format: TargetFormat,
}
#[derive(Clone, Debug, PartialEq, Eq, PartialOrd, Ord, Hash, Serialize, Deserialize)]
pub enum TargetType {
File(PathBuf),
}
#[derive(Clone, Debug, PartialEq, Eq, PartialOrd, Ord, Hash, Serialize, Deserialize)]
pub enum TargetFormat {
Jpeg,
Png,
}

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use std::num::NonZeroUsize;
use instruction::SocketCount;
use serde::{Deserialize, Serialize};
pub mod id;
pub mod instruction;
pub mod semi_human;
pub type Map<K, V> = std::collections::BTreeMap<K, V>;
pub type Set<T> = std::collections::BTreeSet<T>;
/// Gives you a super well typed graph IR for a given human-readable repr.
///
/// Look at [`semi_human::GraphIr`] and the test files in the repo at `testfiles/`
/// to see what the RON should look like.
/// No, we don't want you to write out [`GraphIr`] in full by hand.
/// That's something for the machines to do.
///
/// # Errors
///
/// Returns an error if the parsed source is not a valid human-readable graph IR.
pub fn from_ron(source: &str) -> ron::error::SpannedResult<GraphIr> {
let human_repr: semi_human::GraphIr = ron::from_str(source)?;
Ok(human_repr.into())
}
/// The toplevel representation of a whole pipeline.
///
/// # DAGs
///
/// Pipelines may not be fully linear. They may branch out and recombine later on.
/// As such, the representation for them which is currently used is a
/// [**D**irected **A**cyclic **G**raph](https://en.wikipedia.org/wiki/Directed_acyclic_graph).
///
/// For those who are already familiar with graphs, a DAG is one, except that:
///
/// - It is **directed**: Edges have a direction they point to.
/// In this case, edges point from the outputs of streamers to inputs of consumers.
/// - It is **acyclic**: Those directed edges may not form loops.
/// In other words, if one follows edges only in their direction, it must be impossible
/// to come back to an already visited node.
///
/// Here, if an edge points from _A_ to _B_ (`A --> B`),
/// then _A_ is called a **dependency** or an **input source** of _B_,
/// and _B_ is called a **dependent** or an **output target** of _A_.
///
/// The DAG also enables another neat operation:
/// [Topological sorting](https://en.wikipedia.org/wiki/Topological_sorting).
/// This allows to put the entire graph into a linear list,
/// where it's guaranteed that once a vertex is visited,
/// all dependencies of it will have been visited already as well.
///
/// The representation used here in specific is a bit more complicated,
/// since **instructions** directly aren't just connected to one another,
/// but their **sockets** are instead.
///
/// So the vertices of the DAG are the **sockets**
/// (which are either [`id::Input`] or [`id::Output`] depending on the direction),
/// and each **socket** in turn belongs to an **instruction**.
///
/// # Usage
///
/// - If you want to build one from scratch,
/// add a few helper methods like
/// constructing an empty one,
/// adding instructions and
/// adding edges
/// - If you want to construct one from an existing repr,
/// maybe you want to use [`semi_human::GraphIr`].
///
/// # Storing additional data
///
/// Chances are the graph IR seems somewhat fit to put metadata in it.
/// However, most likely you're interacting in context of some other system,
/// and also want to manage and index that data on your own.
///
/// As such, consider using _secondary_ maps instead.
/// That is, store in a data structure _you_ own a mapping
/// from [`id`]s
/// to whatever data you need.
#[derive(Clone, Debug, Default, PartialEq, Eq, Deserialize, Serialize)]
pub struct GraphIr {
/// "Backbone" storage of all **instruction** IDs to
/// what **kind of instruction** they are.
instructions: Map<id::Instruction, instruction::Kind>,
/// How the data flows forward. **Dependencies** map to **dependents** here.
edges: Map<id::Output, Set<id::Input>>,
/// How the data flows backward. **Dependents** map to **dependencies** here.
rev_edges: Map<id::Input, id::Output>,
}
// TODO: this impl block, but actually the whole module, screams for tests
impl GraphIr {
/// Look "backwards" in the graph,
/// and find out what instructions need to be done before this one.
/// The input slots are visited in order.
///
/// - The iterator returns individually [`Some`]`(`[`None`]`)` if the corresponding slot is
/// not connected.
///
/// The same caveats as for [`GraphIr::resolve`] apply.
#[must_use]
pub fn input_sources(
&self,
subject: &id::Instruction,
) -> Option<impl Iterator<Item = Option<&id::Output>> + '_> {
let (subject, kind) = self.instructions.get_key_value(subject)?;
let SocketCount { inputs, .. } = kind.socket_count();
Some((0..inputs).map(|idx| {
let input = id::Input(socket(subject, idx));
self.rev_edges.get(&input)
}))
}
/// Look "forwards" in the graph to see what other instructions this instruction feeds into.
///
/// The output slots represent the top-level iterator,
/// and each one's connections are emitted one level below.
///
/// Just [`Iterator::flatten`] if you are not interested in the slots.
///
/// The same caveats as for [`GraphIr::resolve`] apply.
#[must_use]
pub fn output_targets(
&self,
subject: &id::Instruction,
) -> Option<impl Iterator<Item = Option<&Set<id::Input>>> + '_> {
let (subject, kind) = self.instructions.get_key_value(subject)?;
let SocketCount { outputs, .. } = kind.socket_count();
Some((0..outputs).map(|idx| {
let output = id::Output(socket(subject, idx));
self.edges.get(&output)
}))
}
/// Returns the instruction corresponding to the given ID.
/// Returns [`None`] if there is no such instruction in this graph IR.
///
/// Theoretically this could be fixed easily at the expense of some memory
/// by just incrementing and storing some global counter,
/// however, at the moment there's no compelling reason
/// to actually have multiple [`GraphIr`]s at one point in time.
/// Open an issue if that poses a problem for you.
#[must_use]
pub fn resolve<'ir>(&'ir self, subject: &id::Instruction) -> Option<InstructionRef<'ir>> {
let (id, kind) = self.instructions.get_key_value(subject)?;
let input_sources = self.input_sources(subject)?.collect();
let output_targets = self.output_targets(subject)?.collect();
Some(InstructionRef {
id,
kind,
input_sources,
output_targets,
})
}
/// Returns the instruction this input belongs to.
///
/// The same caveats as for [`GraphIr::resolve`] apply.
#[must_use]
pub fn owner_of_input<'ir>(&'ir self, input: &id::Input) -> Option<InstructionRef<'ir>> {
self.resolve(&input.socket().belongs_to)
}
/// Returns the instruction this output belongs to.
///
/// The same caveats as for [`GraphIr::resolve`] apply.
#[must_use]
pub fn owner_of_output<'ir>(&'ir self, output: &id::Output) -> Option<InstructionRef<'ir>> {
self.resolve(&output.socket().belongs_to)
}
/// Returns the order in which the instructions could be visited
/// in order to ensure that all dependencies are resolved
/// before a vertex is visited.
///
/// # Panics
///
/// Panics if there are any cycles in the IR, as it needs to be a DAG.
#[must_use]
// yes, this function could probably return an iterator and be lazy
// no, not today
pub fn topological_sort(&self) -> Vec<InstructionRef> {
// count how many incoming edges each vertex has
let mut nonzero_input_counts: Map<_, NonZeroUsize> =
self.rev_edges
.iter()
.fold(Map::new(), |mut count, (input, _)| {
let _ = *count
.entry(input.socket().belongs_to.clone())
.and_modify(|count| *count = count.saturating_add(1))
.or_insert(NonZeroUsize::MIN);
count
});
// are there any unconnected ones we could start with?
// TODO: experiment if a VecDeque with some ordering fun is digested better by the executor
let no_inputs: Vec<_> = {
let nonzero: Set<_> = nonzero_input_counts.keys().collect();
let all: Set<_> = self.instructions.keys().collect();
all.difference(&nonzero).copied().cloned().collect()
};
// then let's find the order!
let mut order = Vec::new();
let mut active_queue = no_inputs;
while let Some(current) = active_queue.pop() {
// now that this vertex is visited and resolved,
// make sure all dependents notice that
let dependents = self
.output_targets(&current)
.expect("graph to be consistent")
.flatten()
.flatten();
for dependent_input in dependents {
let dependent = &dependent_input.socket().belongs_to;
// how many inputs are connected to this dependent without us?
let count = nonzero_input_counts
.get_mut(dependent)
.expect("connected output must refer to non-zero input");
let new = NonZeroUsize::new(count.get() - 1);
if let Some(new) = new {
// aww, still some
*count = new;
continue;
}
// none, that means this one is free now! let's throw it onto the active queue then
let (now_active, _) = nonzero_input_counts
.remove_entry(dependent)
.expect("connected output must refer to non-zero input");
active_queue.push(now_active);
}
// TODO: check if this instruction is "well-fed", that is, has all the inputs it needs,
// and if not, panic
order.push(self.resolve(&current).expect("graph to be consistent"));
}
assert!(
nonzero_input_counts.is_empty(),
concat!(
"topological sort didn't cover all instructions\n",
"either there are unconnected inputs, or there is a cycle\n",
"unresolved instructions:\n",
"{:#?}"
),
nonzero_input_counts,
);
order
}
}
/// Constructs an [`id::Socket`] a bit more tersely.
fn socket(id: &id::Instruction, idx: u16) -> id::Socket {
id::Socket {
belongs_to: id.clone(),
idx: id::SocketIdx(idx),
}
}
/// A full instruction bundeled in context, with its inputs and outputs.
#[derive(Clone, Debug, PartialEq, Eq, PartialOrd, Ord)]
pub struct Instruction {
pub id: id::Instruction,
pub kind: instruction::Kind,
// can't have these two public since then a user might corrupt their length
input_sources: Vec<Option<id::Output>>,
output_targets: Vec<Set<id::Input>>,
}
impl Instruction {
/// Where this instruction gets its inputs from.
///
/// [`None`] means that this input is unfilled,
/// and must be filled before the instruction can be ran.
#[must_use]
pub fn input_sources(&self) -> &[Option<id::Output>] {
&self.input_sources
}
/// To whom outputs are sent.
#[must_use]
pub fn output_targets(&self) -> &[Set<id::Input>] {
&self.output_targets
}
}
/// [`Instruction`], but every single field is borrowed instead.
/// See its docs.
///
/// Use the [`From`] impl to handily convert into an [`Instruction`].
/// The other way around is unlikely to be wanted — since you already have an [`Instruction`],
/// chances are you just want to take a reference (`&`) of it.
#[derive(Clone, Debug, PartialEq, Eq, PartialOrd, Ord)]
pub struct InstructionRef<'ir> {
pub id: &'ir id::Instruction,
pub kind: &'ir instruction::Kind,
input_sources: Vec<Option<&'ir id::Output>>,
output_targets: Vec<Option<&'ir Set<id::Input>>>,
}
impl<'ir> InstructionRef<'ir> {
/// Where this instruction gets its inputs from.
///
/// [`None`] means that this input is unfilled,
/// and must be filled before the instruction can be ran.
#[must_use]
pub fn input_sources(&self) -> &[Option<&'ir id::Output>] {
&self.input_sources
}
/// To whom outputs are sent.
#[must_use]
pub fn output_targets(&self) -> &[Option<&'ir Set<id::Input>>] {
&self.output_targets
}
}
// would love to use ToOwned but Rust has no specialization yet
// and it'd hurt a blanket impl of ToOwned otherwise
impl From<InstructionRef<'_>> for Instruction {
fn from(source: InstructionRef<'_>) -> Self {
Self {
id: source.id.clone(),
kind: source.kind.clone(),
input_sources: source
.input_sources
.into_iter()
.map(Option::<&_>::cloned)
.collect(),
output_targets: source
.output_targets
.into_iter()
.map(|outputs| outputs.map(Clone::clone).unwrap_or_default())
.collect(),
}
}
}

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@ -0,0 +1,87 @@
//! The midterm solution for source representation, until we've got a nice source frontend.
//!
//! Sacrifices type expressivity for the sake of typability in [RON] files.
//!
//! **If you want to construct a graph IR programmatically,
//! use [`crate::GraphIr`] directly instead,
//! as it gives you more control to specify where your instructions came from.**
//!
//! [RON]: https://docs.rs/ron/latest/ron/
use serde::{Deserialize, Serialize};
use crate::{id, instruction, Map, Set};
/// Semi-human-{read,writ}able [`crate::GraphIr`] with far less useful types.
///
/// **Do not use this if you want to programatically construct IR.**
/// Instead, directly use [`crate::GraphIr`].
#[derive(Clone, Debug, PartialEq, Eq, Deserialize, Serialize)]
pub struct GraphIr {
/// See [`crate::GraphIr::instructions`], just that a simple number is used for the ID instead
pub(crate) instructions: Map<u64, instruction::Kind>,
/// See [`crate::GraphIr::edges`], the forward edges.
/// RON wants you to type the set as if it were a list.
pub(crate) edges: Map<Socket, Set<Socket>>,
}
#[derive(Clone, Debug, PartialEq, Eq, PartialOrd, Ord, Hash, Deserialize, Serialize)]
pub struct Socket {
/// ID of the instruction this socket is on.
pub(crate) on: u64,
pub(crate) idx: u16,
}
impl From<Socket> for id::Socket {
fn from(source: Socket) -> Self {
Self {
belongs_to: id::Instruction(source.on),
idx: id::SocketIdx(source.idx),
}
}
}
impl From<GraphIr> for crate::GraphIr {
fn from(source: GraphIr) -> Self {
let edges = source.edges.clone();
Self {
instructions: source
.instructions
.into_iter()
.map(|(id, kind)| (id::Instruction(id), kind))
.collect(),
edges: type_edges(source.edges),
rev_edges: reverse_and_type_edges(edges),
}
}
}
fn type_edges(edges: Map<Socket, Set<Socket>>) -> Map<id::Output, Set<id::Input>> {
edges
.into_iter()
.map(|(output, inputs)| {
let output = id::Output(output.into());
let inputs = inputs.into_iter().map(Into::into).map(id::Input).collect();
(output, inputs)
})
.collect()
}
fn reverse_and_type_edges(edges: Map<Socket, Set<Socket>>) -> Map<id::Input, id::Output> {
edges
.into_iter()
.fold(Map::new(), |mut rev_edges, (output, inputs)| {
let output = id::Output(output.into());
for input in inputs {
let input = id::Input(input.into());
let previous = rev_edges.insert(input, output.clone());
if let Some(previous) = previous {
// TODO: handle this with a TryFrom impl
panic!("two or more outputs referred to the same input {previous:#?}");
}
}
rev_edges
})
}

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@ -1,47 +0,0 @@
use serde::{Deserialize, Serialize};
pub mod read;
pub mod write;
#[derive(Serialize, Deserialize, PartialEq, Eq, Debug)]
pub enum Instruction {
Read(read::Read),
Write(write::Write),
Math(MathInstruction),
Blend(BlendInstruction),
Noise(NoiseInstruction),
Filter(FilterInstruction),
}
#[derive(Serialize, Deserialize, PartialEq, Eq, Debug)]
pub enum MathInstruction {
Add,
Subtract,
Multiply,
Divide,
}
#[derive(Serialize, Deserialize, PartialEq, Eq, Debug)]
pub enum BlendInstruction {
Normal,
Multiply,
Additive,
Overlay,
Screen,
Subtractive,
Difference,
Darken,
Lighten,
}
#[derive(Serialize, Deserialize, PartialEq, Eq, Debug)]
pub enum NoiseInstruction {
Perlin,
Simplex,
Voronoi,
}
#[derive(Serialize, Deserialize, PartialEq, Eq, Debug)]
pub enum FilterInstruction {
Invert,
}

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@ -1,19 +0,0 @@
use serde::{Deserialize, Serialize};
use std::path::PathBuf;
#[derive(Serialize, Deserialize, PartialEq, Eq, Debug)]
pub struct Read {
pub source: SourceType,
pub format: SourceFormat,
}
#[derive(Serialize, Deserialize, PartialEq, Eq, Debug)]
pub enum SourceType {
File(PathBuf),
}
#[derive(Serialize, Deserialize, PartialEq, Eq, Debug)]
pub enum SourceFormat {
Jpeg,
Png,
}

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@ -1,19 +0,0 @@
use serde::{Deserialize, Serialize};
use std::path::PathBuf;
#[derive(Serialize, Deserialize, PartialEq, Eq, Debug)]
pub struct Write {
pub target: TargetType,
pub format: TargetFormat,
}
#[derive(Serialize, Deserialize, PartialEq, Eq, Debug)]
pub enum TargetType {
File(PathBuf),
}
#[derive(Serialize, Deserialize, PartialEq, Eq, Debug)]
pub enum TargetFormat {
Jpeg,
Png,
}

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@ -1,38 +0,0 @@
use instructions::Instruction;
use serde::{Deserialize, Serialize};
use crate::instructions::{
read::{SourceFormat, SourceType},
write::{TargetFormat, TargetType},
MathInstruction,
};
pub mod instructions;
pub fn from_ron(raw: &str) -> Rpl {
ron::from_str(raw).unwrap()
}
#[derive(Serialize, Deserialize, PartialEq, Eq, Debug)]
pub struct Rpl(pub Vec<Instruction>);
#[test]
fn test_simple_deserialize() {
const TEST_DATA: &str =
"([Read( (source: File(\"~/example/file.png\"), format: Png) ),Math(Add),Write(( target: File(\"~/example/out.jpg\"), format: Jpeg))])";
assert_eq!(
from_ron(TEST_DATA),
Rpl(vec![
Instruction::Read(instructions::read::Read {
source: SourceType::File("~/example/file.png".into()),
format: SourceFormat::Png
}),
Instruction::Math(MathInstruction::Add),
Instruction::Write(instructions::write::Write {
target: TargetType::File("~/example/out.jpg".into()),
format: TargetFormat::Jpeg
})
])
);
}

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@ -1,3 +0,0 @@
pub enum DynamicValue {
Image(DynamicImage),
}

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@ -7,7 +7,75 @@
subtitle: [don't worry, we're just dreaming],
)
= Evaluation stages
= Term overview
/ Processing stages:
Whole workflow of iOwO,
from the source to evaluation.
/ Source:
Nice textual representation of what iOwO is supposed to do.
Consists of instructions and pipelines.
/ Graph IR:
Intermediate machine-readable representation of the source.
Can be modified by the optimizer
and is evaluated or "ran" by the runtime.
/ Optimizer:
Simplifies the graph IR and makes it faster to run.
/ Runtime:
All-encompassing term for what's done
after a graph IR is optimized and fully ready to go.
/ Scheduler:
Looks at the graph IR
and decides which evaluator gets to run which part of it.
/ Evaluator:
One specific implementation of how to run
through the whole graph IR to get its results.
/ Function:
On the source level and before the graph IR,
anything that can be run with inputs,
possibly receiving outputs.
/ Instruction:
Function, but in the graph IR and at runtime.
Ask schrottkatze on why the differentiation is important.
/ Input:
Received by a function or instruction.
Different inputs may result in different behavior
and/or in different outputs.
/ Argument:
On the source level,
an input which is given ad-hoc
instead of provided through a pipeline.
/ Output:
Returned by a function or instruction,
and can be fed into other functions or instructions.
/ Consumer:
Function or instruction that takes at least 1 input.
/ Streamer:
Function or instruction that returns at least 1 output.
/ Modifier:
Function or instruction that is _both_ a consumer and a streamer.
/ Pipeline:
Any chain of streamers and consumers,
possibly with modifiers in-between,
that may branch out
and recombine arbitrarily.
= Processing stages
#graphics.stages-overview
@ -18,7 +86,7 @@ This has a number of benefits and implications:
- Bugs are easier to trace down to one stage.
- Stages are also replacable, pluggable and usable somewhere else.
- For example,
one could write a Just-In-Time compiler as a new executor to replace the runtime stage,
one could write a Just-In-Time compiler as a new evaluator to replace the runtime stage,
while preserving the source #arrow() graph IR step.
However, this also makes the architecture somewhat more complicated. So here we try our best to describe how each stage looks like. If you have any feedback, feel free to drop it on #link("https://forge.katzen.cafe/katzen-cafe/iowo/issues")[the issues in the repository]!
@ -152,17 +220,17 @@ Merges and simplifies functions in the graph IR.
== Runtime <runtime>
Runs through all functions in the graph IR.
It does not have any significantly other representation,
It does not have any significantly different representation,
and despite its name there's _no_ bytecode involved.
Different runtimes are called executors.
Executors operate on instructions instead of functions.
=== Scheduler
Looks at the graph IR and decides when the VM should execute what.
Looks at the graph IR and decides when which evaluator gets to evaluate what.
=== VM <vm>
=== Evaluator
Runs instructions given to it in a specific way,
such as for example on the GPU using OpenCL.
= Open questions

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@ -219,8 +219,11 @@
)
}
// i wonder if layouting could be automatized
// if the graph is guaranteed to be acyclic,
// then we could just lay them out in "columns"
#let graph-example = canvas({
let x = 3
let x = 2.25
let y = -3
node((-x, -0.75 * y), ty: "const", body: "\"base.png\"", name: "base")
node((x, -0.75 * y), ty: "const", body: "\"stencil.png\"", name: "stencil")
@ -245,7 +248,7 @@
// literally just for standalone display of the graphics alone
#import "../../template.typ": conf
#show: conf
#show: conf.with(render-outline: false)
#set page(width: auto, height: auto)
#graph-example

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@ -33,22 +33,23 @@
// this'd require wrapping the whole document in a show rule
// at which point `query` doesn't find anything anymore
#let terms = (
"processing stage",
"source",
"AST",
"graph IR",
"runtime",
"executor",
"optimizer",
"scheduler",
"VM",
"evaluator",
"evaluation",
"function",
"instruction",
"pipeline",
"input", "argument", "consumer",
"output", "streamer",
"modifier",
"pipeline",
)
// yes, the shadowing is intentional to avoid accidentally using the list
#let terms = regex("\\b(" + terms.map(expand).join("|") + ")\\b")
@ -56,6 +57,7 @@
#let conf(
title: none,
subtitle: none,
render-outline: true,
doc,
) = {
set page(
@ -134,6 +136,7 @@
}
// outline and other prelude info
if render-outline {
outline(
indent: auto,
fill: line(
@ -146,6 +149,7 @@
),
),
)
}
// content itself
doc

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@ -36,7 +36,13 @@
rustfmt.enable = true;
};
packages = with pkgs; [just nushell typst];
packages = with pkgs; [
just nushell
ripgrep
typst typst-lsp
mold
cargo-nextest cargo-watch
];
})
];
};

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@ -1,3 +1,9 @@
all: test docs
test:
#!/usr/bin/env nu
cargo nextest run
# Compile all documentation as in proposals and design documents, placing them under `docs/compiled`.
docs:
#!/usr/bin/env nu
@ -9,3 +15,9 @@ docs:
)
mv $pdf docs/compiled
} | ignore
fmt:
#!/usr/bin/env nu
cargo fmt
echo "Places where whitespace is at the end of a line:"
rg '\s$'

16
testfiles/bare.ron Normal file
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@ -0,0 +1,16 @@
(
instructions: {
0: Read((
source: File("testfiles/rails.png"),
)),
1: Write((
target: File("testfiles/gen/out.jpg"),
format: Jpeg,
)),
},
edges: {
(on: 0, idx: 0): [
(on: 1, idx: 0),
],
},
)

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@ -1,12 +0,0 @@
(
[
Read((
source: File("/home/jade/example/file.png"),
format: Png
)),
Write((
target: File("/home/jade/example/out.jpg"),
format: Jpeg
))
]
)

1
testfiles/gen/.gitkeep Normal file
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@ -0,0 +1 @@
the testfile scripts will place generated images and media here. thank you for your understanding.

16
testfiles/invert.ron Normal file
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@ -0,0 +1,16 @@
(
instructions: {
0: Read((
source: File("testfiles/rails.png"),
)),
1: Filter(Invert),
2: Write((
target: File("testfiles/gen/inverted.png"),
format: Png,
)),
},
edges: {
(on: 0, idx: 0): [(on: 1, idx: 0)],
(on: 1, idx: 0): [(on: 2, idx: 0)],
},
)

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@ -1,13 +0,0 @@
(
[
Read((
source: File("/home/jade/example/file.png"),
format: Png
)),
Filter(Invert),
Write((
target: File("/home/jade/example/inverted.jpg"),
format: Jpeg
))
]
)

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