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404 Not Found

diff --git a/CNAME b/CNAME new file mode 100644 index 0000000..33f34d4 --- /dev/null +++ b/CNAME @@ -0,0 +1 @@ +www.acton-lang.org \ No newline at end of file diff --git a/about/future/index.html b/about/future/index.html new file mode 100644 index 0000000..d48560e --- /dev/null +++ b/about/future/index.html @@ -0,0 +1,235 @@ + + + + + + + + + + + + + + + + + + + + + + +
+ + + + + + + + +
+ + +
+ + + + + +
+
+ +
+ Current state +
+ + +
+ Future road map +
+ + +
+ - Base language +
+ + + +
+
+ + + +
+ +
+

Current state

+

Current state, not comprehensively listed, but items of some noteworthiness:

+
    +
  • the basic Acton language is mostly there +
      +
    • normal language features work, you can use Acton to implement programs
      • +
    • there may be syntax changes
      • +
    +
    • +
  • compiler error messages leave quite some room for improvement
    • +
  • very little documentation :/
    • +
  • tiny standard library +
      +
    • join the movement and write a library! :)
      • +
    +
    • +
  • actor snapshotting and resumption of computation to/from the distributed database +
      +
    • fundamentals in place
      • +
    • the implementation of actor migration and placement in the new C RTS is currently under way +
        +
      • this is a feature that existed in the old Acton RTS POC, so it is a sort of proven concept but needs to be reimplemented in the C RTS
        • +
      +
      • +
    +
    • +
  • the distributed backend does not yet support persisting data to disk +
      +
    • the database and distributed queues are all in-memory only for now
      • +
    • but its distributed, so hey, dont turn off all your machines at once ;)
      • +
    +
    • +
  • not possible to live upgrade data in database +
      +
    • we will leverage the Acton type system to detect when live upgrades are possible or when data migration needs to happen
      • +
    • assist user in writing data migration code
      • +
    • need to migrate actor state & actor messages in flight!
      • +
    +
    • +
+

Future road map

+

This is not a promise of delivering any feature at a certain point in time. It's to give you a rough idea of what the future might hold.

+

Base language

+
    +
  • unify class and actor syntax
    • +
  • improve compiler performance, mainly in type inferencing
    • +
  • implement common modules in a standard library
    • +
  • support package management, e.g. dependencies in Acton projects with automatic downloads from remote repos etc
    • +
  • cross-compilation support
    • +
  • improve run time performance, in particular around GC
    • +
  • many many fixes on the path to a mature language
    • +
+ + +
+ + + +
+ + + + + + + + diff --git a/about/index.html b/about/index.html new file mode 100644 index 0000000..a99260e --- /dev/null +++ b/about/index.html @@ -0,0 +1,209 @@ + + + + + + + + + + + + + + + + + + + + + + +
+ + + + + + + + +
+ + +
+ + + + + +
+
+ +
+ Why does the world need Acton? +
+ + +
+ What makes Acton different? +
+ + +
+ Now and the road ahead +
+ + +
+ What's been achieved so far? +
+ + +
+
+ + + +
+ +
+

Why does the world need Acton?

+

We believe the existence of a fault tolerant distributed programming environment with orthogonal persistence will make the world a better place. Acton was created to deliver on that belief.

+

We want a programming environment that offers persistence so that programmers do not need to spend time writing code to save program state to disk or a database (which in turn writes to disk, typically). There are few such languages in existence and even fewer, if any, in practical use. This is especially important as handling state persistence is particularly hard when writing distributed systems or working in cloud environments. The programmer should not need to spend much time dealing with state persistence.

+

We want to write small programs that can run together to form a large system. It needs to scale beyond the bounds of a single computer and we don't want the programmer to spend any extra effort to achieve this.

+

We want the system as a whole to be robust. It must tolerate failures to the hardware compute nodes used to run the system without loss of data or function. It should also help the programmer to write correct software without bugs. It's not practical to avoid bugs entirely but when we have a chance to detect and present them early, that is better than later.

+

We want a reasonably fast system. Performance is not the highest priority but one shouldn't have to needlessly buy newer or more hardware.

+

We want to lower the barrier of entry and enable people to build the robust systems that modern society needs and relies on.

+

What makes Acton different?

+

Acton adopts the actor model and combines it with a simple to use syntax and a powerful type system. Many good things emanate from the combination of the actor model and a good type system.

+ +

In traditional languages, programs use shared memory to allow multiple threads or multiple processes to share state or communicate with each other. Shared memory involves locks to avoid race conditions. Checkpointing the state of a program is hard because it is hard to figure out what parts of the memory you need to checkpoint. It's all like a big hairy spaghetti ball and the safe choice is to checkpoint the entire memory of the program. This could work for small programs but we want to write large distributed programs! The key to efficiently checkpointing a program is to be able to work on smaller parts of the program and in order to do that, we need to get a grip on those smaller parts. That is hard with shared memory. There are papers on this topic with various techniques applied in attempts to realize barriers and snapshot chunks of memory but it is hard to make it work well in practice. In contrast, with actors, each actor has its own private memory which makes it possible to checkpoint the state of individual actors. Further, actors communicate with each other through messages. With our own database that implements queues inside the database, we can both read and modify database cells as well as reading, consuming or putting new items on the queues in the same transaction! This makes it possible to deal with actor checkpoints in a transactionally safe way. Many great things emanate from the actor model!

+

Actors do not fundamentally resolve the problem of snapshotting since it is still possible to construct a single giant actor that consumes 100GB of RAM and snapshotting that won't be fast. However, the actor model does encourage the use of many smaller actors for concurrency as well as logically splitting up your program in manageable units. In practice, it typically reduces the size and time taken to checkpoint by orders of magnitudes compared to a large traditional program. It brings persistence-through-checkpointing from theoretically feasible to practically viable.

+

Checkpointing needs to happen when there are externally visible effects. The actor models makes this trivial to determine since anything that is externally visible is going to be a message to another actor. To avoid explicit state checkpointing calls, synchronization primitives or explicit IPC calls that would be forced upon the application developer, we employ magic advanced techniques in the compiler, made possible by its inherent knowledge of the language. By analyzing the code of the program we can determine suitable locations for inserting checkpointing, and this is in fact what the Acton compiler does. It splits up a program into continuations that are executed by the Acton run time system. After a continuation has been executed, its result, including the actor state, any outgoing messages to other actors as well as the consumption of the incoming message that triggered this continuation to run, is committed atomically in one transaction to the database. All this is possible thanks to the language, compiler, run time system and database working together as one. It is only possible with a new language and that is why we wrote Acton.

+ +

With Acton, an application developer simply writes single threaded Acton code and relegates the complex tasks of ensuring state consistency, persistence, fault tolerance and load balancing to the compiler, database and run time system.

+

We hope you enjoy Acton!

+

Now and the road ahead

+

Acton is still relatively young and still has some way to go to fully deliver on the vision. Read more about the current state and outlook.

+

What's been achieved so far?

+

We have worked on Acton for years. The first iteration of Acton was essentially a proof of concept where we used Python as the run time for the language with a heavily modified Cassandra database that featured transaction and communication queues for safely storing state. It was tied together by an early version of the Acton compiler, written in Haskell, that took Acton source code as input and produced a Python program which a standard Python interpreter could execute. It would wrap Acton actors in state preserving code that would commit the programs state to the database. This prototype was used to prove the foundational concepts.

+

Since then we have implemented a new high performance run time system and a new distributed database for backend. Acton code is now compiled to C and then to machine code. The runtime system also features a new lock-free distributed database, written from scratch in C for Acton, making use of efficient optimistic concurrency transaction validation, gossip, bulk updates, integrated communication queues, and several other optimizations that make it fast. The database offers a low level C API for simple but very fast and low latency queries; suitable for building a language run time system on top of! The new run time system in turn is designed to work well together with the database.

+

The run time system works well standalone too, you don't have to use it together with the distributed database backend. You can use it to write "normal" programs and with native code, it is easy to make small independent programs that are easy to install since there is no need to first install an interpreter.

+ + +
+ + + +
+ + + + + + + + diff --git a/blog/2024-05-unboxing/index.html b/blog/2024-05-unboxing/index.html new file mode 100644 index 0000000..9f09f8c --- /dev/null +++ b/blog/2024-05-unboxing/index.html @@ -0,0 +1,263 @@ + + + + + + + + + + + + + + + + + + + + + + +
+ + + + + + + + +
+ + +
+ + + + + +
+
+ +
+ Unboxing Integers +
+ + +
+ - Boxed values +
+ +
+ - Unboxing boxed integers +
+ +
+ - Optimal code with unboxed integers - Discrete Cosine Transform +
+ +
+ - Doubly good for the GC and memory subsystem +
+ +
+ - Performance comparison +
+ +
+ - Future work +
+ + + +
+
+ + + +
+ +
+

Unboxing Integers

+

Acton's new integer unboxing feature can speed up number-heavy applications by 100x or more. In this post, we'll break down what integer unboxing is, how it works, and why it matters for your performance-critical code.

+

Boxed (yellow) vs Unboxed (green) vs Python (Yellow) +

+

Boxed values

+

In many programming languages, values like integers or strings are stored in a boxed fashion. The box is a structure in memory that holds the type of the value, like "signed 64 bit integer", as well as the actual value, like 42. This is different than the most basic representation in computer memory, which is really just the value itself, like a series of 64 bits, without the meta-data of what type the value is of. We can think of this basic representation as "unboxed", there is no box to tell us what type of value is stored, it's just some stored bits. The downside of such unboxed values is that you have to keep track of the type of a value by some other means. When writing C programs, this is natural and just the way things works, like we know that variable a is of type int in the program code, so no need to also repeat that in memory but it does require the programmer to bear this burden. With higher level languages and in particular those that support generic types, it becomes necessary to keep track of value types and using boxed types is the simplest means to achieving this. Acton uses boxed values in general.

+

There's nothing wrong with boxed values, it's just that it comes with some performance overhead, so for compute intensive code, this can add up to make quite a difference. We might end up spending more time looking at the box and following pointers than doing the actual computation.

+

For a contemporary 64 bit CPU, a machine word, the normal sized chunk that the CPU deals with, is 64 bits and so any type that is 64 bits or smaller can be passed around directly. C ABI calling convention typically passes a 64 bit integer argument value to a function using a CPU register, which is incredibly fast. In contrast, a boxed value is instead sent as a pointer to the box and then the receiving function has to fetch the box and then the value from memory, which can be considerably slower.

+

Unboxing boxed integers

+

Unboxing is the process of removing the box around a value, allowing the value to be passed and operated on directly without any extra layers of indirection. In Acton, integers were traditionally stored as boxed values—meaning that instead of simply passing the raw number around, we were also managing metadata (such as the type of value) along with the value itself. This made certain operations, especially mathematical ones, slower than necessary.

+

By unboxing these integers, we can bypass this overhead. When an integer is unboxed, it’s stored and passed around as a raw, untagged machine word. This is similar to how a language like C would handle primitive types such as int. The result? Faster memory access and improved computational performance, especially for tight loops and arithmetic-heavy code.

+

The Acton compiler now has support for automatically detecting when an integer can be unboxed, and it will generate optimized C code accordingly. This allows you to write clean, expressive code while still benefiting from low-level performance optimizations under the hood.

+

In this first iteration, unboxing is supported for local variables and variables passed as arguments between functions. Object attributes are always boxed.

+

Optimal code with unboxed integers - Discrete Cosine Transform

+

The discrete cosine transform is a very popular and widely used algorithm used for image compression. And here it is, in an Acton version:

+
import math
+
+def dct(k,n,l):
+    return math.cos(math.pi/l * (n + 0.5) * k)
+
+def dct_sum(l):
+    s = 0
+    k = 0
+    while k < l:
+        n = 0
+        while n < l:
+            s += dct(k,n,l)
+            n += 1
+        k += 1
+    return s
+
+

The values operated on here are i64 and with the new support in the Acton compiler for unboxed values, the generated C code is the following:

+
double dctQ_U_dct (double U_1k, double U_2n, double U_3l) {
+    double U_4N_tmp = cos((((mathQ_pi->val / U_3l) * (U_2n + 0.5)) * U_1k));
+    return U_4N_tmp;
+}
+double dctQ_U_5dct_sum (double U_6l) {
+    double U_7s = 0;
+    double U_8k = 0;
+    while ((U_8k < U_6l)) {
+        double U_9n = 0;
+        while ((U_9n < U_6l)) {
+            U_7s += dctQ_U_dct(U_8k, U_9n, U_6l);
+            U_9n += 1;
+        }
+        U_8k += 1;
+    }
+    return U_7s;
+}
+
+

Which is pretty much as simple and optimal as one would write by hand, bar the naming convention. In other words, using Acton, which can certainly be considered a higher level language than C, comes with essentially no overhead for this program. Boxed values are doubly bad because they also exert a massive pressure on the memory subsystem, both when allocating on the heap and when the GC subsystem is collecting garbage. This makes a tremendous difference in performance, especially for larger values where memory consumption grows. With unboxing, we avoid the extra memory allocation and instead store values on the stack and pass them to functions via CPU registers.

+

Doubly good for the GC and memory subsystem

+

By not allocating memory for boxed values, we avoid the need for the garbage collector to clean up after them. This is a double win for performance, as the garbage collector can be a significant bottleneck in many applications. Acton currently uses the Boehm GC (but not for long!), which is a mark-sweep collector with a stop-the-world. All Acton Run Time System worker threads are stopped while running the GC which means that otherwise parallelizable code might not end up being very fast because we become concurrency constrained around GC. Using unboxed values avoids malloc & GC altogether and so our application can easily run concurrently.

+

Performance comparison

+

In this graph we can see the performance difference between the boxed and unboxed versions of the DCT program. Depending on the input size, the unboxed version can be 100x or even faster. Python is also included in this comparison where it scores better than the boxed version but still significantly slower than the unboxed version.

+

Boxed (red) vs Unboxed (green) vs Python (Yellow) +

+

If we remove Acton's boxed version, we can zoom in on the unboxed and Python versions. Acton's unboxed version is, by quite a fair margin, consistently faster than Python, for all input sizes. The difference becomes more pronounced as the input size grows and at 10000, Acton is ~15x faster than Python.

+

Unboxed (green) vs Python (yellow) +

+

Many computationally intensive applications are written in C and receive a thin wrapper in Python or some other high level language. Acton now offers an appealing alternative; writing normal Acton code is as fast as C code but remains Pythonic and simple to read and develop, while it is still possible for more specialized cases to write C code and integrate in an Acton module.

+

Future work

+

The current implementation of unboxing in Acton supports local variables and function arguments. In the future, we plan to extend this support to object and actor attributes as well. This will further improve the performance of Acton programs, especially those that rely heavily on object-oriented programming.

+

Further, monomorphization is a technique that can be used to specialize generic functions for specific types. This can be used to optimize the performance of functions that are called with a small number of different types. We plan to explore monomorphization in Acton to further improve the performance of generic functions.

+

Until then, enjoy the speed boost that unboxed integers bring to your Acton programs!

+ + +
+ + + +
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e.elements=this.toArray(),e.length=e.elements.length,e},lunr.SortedSet.prototype.union=function(e){var t,n,i;this.length>=e.length?(t=this,n=e):(t=e,n=this),i=t.clone();for(var o=0,r=n.toArray();o + + + + + Acton Programming Language + + + + + + + + + + + + + + + + + +

+ + + + + + + + +
+ +
+ + +
+

+ Distributed cloud systems made easy +

+

+ Acton is a fault tolerant distributed programming platform for building mission critical systems. The easy way. +

+ +
+ + +
+ Explore More ⇩ +
+ + +
+ + + +
+
+
+

+ Why Acton? +

+ +
+ +
+

Distributed Computing built in

+

Write programs that seamlessly run as a distributed system over an entire data center or region. All without a single line of RPC code.

+
+ +
+

Durable State

+

Acton automatically persists the state of your application (orthogonal persistence) to a built-in distributed backend. No need to use a database or message broker ever again. 0 lines of persistence code.

+
+ +
+

Fault Tolerant

+

Built-in redundancy; Acton's transactional, high performance distributed RTS can seamlessly resume application state after hardware failures

+
+ +
+

Non-stop

+

Never stop for an upgrade; Live upgrade your running application through compiler-supported code and data migration

+
+ +
+

Any scale

+

Acton programs, and the actor model, work well from simple script style applications on a single machine up to large distributed systems across a Data Center. Run at your scale.

+
+ +
+

Safe & Fast

+

Static and strongly typed, Acton is safe yet simple to use with low overhead thanks to powerful type inferencing. Being a compiled language, backed by a high performance distributed run time system, Acton is fast.

+
+ +
+ + +

Overview

+

Acton is a general purpose programming language, designed to be useful for a wide range of applications, from desktop applications to embedded and distributed systems. In a first approximation Acton can be described as a seamless addition of a powerful new construct to an existing language: Acton adds actors to Python. Our take on the actor model allows developers to write highly scalable and fault tolerant code, without needing to worry about explicit state checkpointing, synchronization primitives or giving up consistency.

+

Acton is a compiled language, offering the speed of C but with a considerably simpler programming model. There is no explicit memory management, instead relying on garbage collection.

+

Acton is statically typed with an expressive type language and type inference. Type inferrence means you don't have to explicitly declare types of every variable but that the compiler will infer the type and performs its checks accordingly. We can have the benefits of type safety without the extra overhead involved in declaring types.

+

The Acton Run Time System (RTS) offers a distributed mode of operation allowing multiple computers to participate in running one logical Acton system. Actors can migrate between compute nodes and load balance the application workload. The RTS offers exactly once message delivery guarantees and strong serial state consistency without sacrificing performance. By automatically checkpointing actor states and inter-actor messages to a integrated distributed database and messaging queues, failure of individual actors or compute nodes can be transparently recovered from by the runtime system. There is no need for explicit state checkpointing or use of synchronization primitives between actors. Your system can run forever!

+

State of Acton

+

Acton is a work in progress and still has some way to go to fully deliver on the vision. We want to sell you on the ideas and concepts that we set out to deliver, so that you may be as excited about Acton as we are :)

+

Read more about the motivation behind Acton and why we thought a new language was the best avenue to achieve our goals, also covering some of the early history and learn about where we are currently at and what the future might hold.

+

Getting started

+

Install

+

Check out the installation section for how to get Acton!

+

Learn

+

Read an introduction to using Acton in the learn Acton section.

+ + +
+
+
+ +
+
+
+

+ Get involved +

+

Contribute code

+

One of the best ways of helping Acton development is to start using Acton for writing your programs and reporting on any bugs found or the overall experience.

+

You are of course more than welcome to make direct contributions too, e.g. writing documentation, designing this web page, hacking on the actonc compiler or expanding the standard library.

+

Come help us make Acton better!

+
+
+
+ + + + + + + + + diff --git a/install/from-source/index.html b/install/from-source/index.html new file mode 100644 index 0000000..df0be4a --- /dev/null +++ b/install/from-source/index.html @@ -0,0 +1,227 @@ + + + + + + + + + + + + + + + + + + + + + + +
+ + + + + + + + +
+ + +
+ + + + + +
+
+ +
+ Building Acton from source +
+ + +
+ Get the code +
+ + +
+ Build dependencies +
+ + +
+ - Debian / Ubuntu +
+ +
+ - Mac OS X +
+ + + +
+ Building the Acton system +
+ + +
+ Running tests +
+ + +
+
+ + + +
+ +
+

Building Acton from source

+

If you want to mess around with Acton itself, like hack on the compiler or add to the standard library of modules you will need to build the Acton system from source.

+

Get the code

+
git clone git@github.com:actonlang/acton.git
+
+

Build dependencies

+

Install the build time dependencies.

+

Debian / Ubuntu

+
apt install bzip2 curl g++ haskell-stack make procps zlib1g-dev
+
+

Debian 12 (bookworm) or Ubuntu 23.04 or newer are required to get a fresh enough version of stack that works with GHC 9. On older distributions, stack needs to be upgraded first.

+
stack upgrade
+export PATH=~/.local/bin:$PATH
+
+

Mac OS X

+
brew install haskell-stack
+
+

Building the Acton system

+

Run make in the project root:

+
make -j
+
+

-j is for parallel make using as many CPU cores as available on your machine.

+

Running tests

+
make test
+
+ + +
+ + + +
+ + + + + + + + diff --git a/install/from-tar-ball/index.html b/install/from-tar-ball/index.html new file mode 100644 index 0000000..401ef4e --- /dev/null +++ b/install/from-tar-ball/index.html @@ -0,0 +1,185 @@ + + + + + + + + + + + + + + + + + + + + + + +
+ + + + + + + + +
+ + +
+ + + + + +
+
+ +
+ Install Acton from binary release tar ball +
+ + +
+
+ + + +
+ +
+

Install Acton from binary release tar ball

+

There are pre-built binary release tar balls available for download for Linux +and Mac OS X in case the above package formats are not suitable. Download a +tar ball from the Release page. +Pick the latest stable versioned release.

+

In case you are looking to live on the bleeding edge or have been asked by a +developer (in case you ran into a bug) you can pick tip, which is built +directly from the main branch.

+

Extract the Acton tar ball:

+
$ tar jxvf acton-*
+
+

You will want to include the acton/bin directory in your PATH so you can use +actonc.

+ + +
+ + + +
+ + + + + + + + diff --git a/install/index.html b/install/index.html new file mode 100644 index 0000000..f415d79 --- /dev/null +++ b/install/index.html @@ -0,0 +1,258 @@ + + + + + + + + + + + + + + + + + + + + + + +
+ + + + + + + + +
+ + +
+ + + + + +
+
+ +
+ Install +
+ + +
+ Debian / Ubuntu +
+ + +
+ - Supported versions +
+ +
+ - Install via apt repository: +
+ + + +
+ Mac OS X +
+ + +
+ - Supported versions +
+ +
+ - Install via Homebrew +
+ + + +
+ Binary release tar ball +
+ + +
+ Building from source +
+ + +
+
+ + + +
+ +
+

Install

+

Acton is available for Linux and Mac OS X.

+

The platforms listed here are for developing with Acton. The final binary executable produced from compiling an .act can run on other platforms, for example Ubuntu 18.04 and can be made to run on even older systems through static linking, see Acton by Example: compilation

+

Debian / Ubuntu

+

Supported versions

+
    +
  • Debian 11 / x86_64
    • +
  • Debian 12 / x86_64
    • +
  • Ubuntu 20.04 / x86_64
    • +
  • Ubuntu 22.04 / x86_64
    • +
  • Ubuntu 23.04 / x86_64
    • +
+

Install via apt repository:

+

The APT configuration is for bullseye but the Acton package is forward compatible and works just fine on bookworm as well as similarly modern Ubuntu releases.

+
wget -q -O - https://apt.acton-lang.io/acton.gpg | sudo apt-key add -
+echo "deb [arch=amd64] http://apt.acton-lang.io/ bullseye main" | sudo tee /etc/apt/sources.list.d/acton.list
+sudo apt-get update
+sudo apt-get install -qy acton
+
+

Mac OS X

+

Supported versions

+
    +
  • MacOS 10.5 / x86_64
    • +
  • MacOS 11 / x86_64
    • +
  • MacOS 12 / x86_64
    • +
  • MacOS 12 / aarch64 (M1) +
      +
    • no pre-built binary package ("bottle" in Homebrew lingo) available so it will build from source
      • +
    +
    • +
  • MacOS 13 / x86_64
    • +
  • MacOS 13 / aarch64 (M1) +
      +
    • no pre-built binary package ("bottle" in Homebrew lingo) available so it will build from source
      • +
    +
    • +
+

Install via Homebrew

+
brew install actonlang/acton/acton
+
+

Binary release tar ball

+

There are pre-built binary release tar balls available for download for Linux +and Mac OS X in case the above package formats are not suitable. See the guide, +installing Acton from a release tar ball.

+

Building from source

+

See building from source.

+ + +
+ + + +
+ + + + + + + + diff --git a/juice.css b/juice.css new file mode 100644 index 0000000..c2f12b1 --- /dev/null +++ b/juice.css @@ -0,0 +1 @@ +.heading-text{font-family:"Fira Sans",sans-serif;font-size:32px;font-weight:600;padding:10px 0 25px 0}h1,.title-text{font-family:"Fira Sans",sans-serif;font-size:25px;font-weight:500;border-left:var(--primary-color-touch) 8px solid;padding-left:10px}h2,.subtitle-text{font-family:"Fira Sans",sans-serif;font-size:20px;font-weight:500;color:var(--primary-text-color)}.text{font-family:"Fira Sans",sans-serif;font-size:18px;font-weight:400;line-height:26px;letter-spacing:.2px;color:var(--primary-text-color)}.subtext{font-family:"Fira Sans",sans-serif;font-size:16px;font-weight:400;letter-spacing:.1px}.content{padding:0 40px;display:flex;flex-direction:column;overflow-x:auto}.content pre{overflow-x:auto;padding:1.25em 1.5em;white-space:pre;word-wrap:normal;background-color:#fff;color:#4a4a4a;font-size:.875em;font-family:monospace}.content code{font-size:.875em;font-weight:normal;padding:.25em .5em;font-family:monospace}.content pre code{padding:0}.content a{color:var(--primary-link-color)}.content a:hover{text-decoration:underline}.content blockquote{border-left:#e2dede 8px solid;margin:0;background-color:#f2f1f0;padding:0 20px}body{padding:0;margin:0;box-sizing:border-box;background-color:var(--secondary-color);color:var(--primary-text-color);display:flex;flex-direction:column;min-height:100vh}a{text-decoration:none}ul{margin-top:.5rem}ul>li{padding:.3rem 0}p>img{width:100%;height:auto}header{background-color:var(--primary-color);color:#000;padding:20px 50px;display:flex;align-items:center;justify-content:space-between}.logo{font-family:"Alfa Slab One",serif;font-size:32px;color:var(--nav-text-color);display:flex;align-items:center;margin:0 40px}.logo img{width:60px;margin:0 25px}.nav-item{color:var(--nav-text-color);margin:0 10px;text-decoration:none;font-size:18px;font-weight:bold}.nav-item:hover{color:#000;text-decoration:underline}.hero{display:flex;align-items:center;justify-content:space-evenly;height:100vh;background-color:var(--primary-color);color:var(--primary-hero-text-color);overflow-x:hidden;padding:0 40px}.hero .explore-more{position:absolute;bottom:20px;cursor:pointer}main{display:flex;padding:50px 100px;flex-grow:1}main .toc{max-width:260px;min-width:240px}main .toc-item{padding:10px 20px;color:#424242}main .toc-item a,main .toc-item-child a{color:var(--secondary-text-color)}main .toc-item a:hover,main .toc-item-child a:hover{cursor:pointer;text-decoration:underline}main .toc-item a.active,main .toc-item-child a.active{color:var(--toc-highlight-text-color)}main .toc-item-child{padding:0 30px 5px;color:#424242}.toc-sticky{border-radius:3px;border-top:5px solid var(--primary-color);background-color:var(--secondary-color-accent);position:sticky;position:-webkit-sticky;position:-moz-sticky;position:-ms-sticky;position:-o-sticky;top:10px;padding:10px 0 20px;max-height:100vh;overflow:auto}*::before,*::after{box-sizing:border-box}.row{display:flex;flex-wrap:wrap;--bs-gutter-x: 48px;--bs-gutter-y: 0px;margin-right:calc(var(--bs-gutter-x)/-2);margin-left:calc(var(--bs-gutter-x)/-2)}.col-lg-3{flex:0 0 auto;width:30%;min-width:150px;margin-left:11px;margin-right:11px}footer{padding:50px;display:flex;flex-direction:column;justify-content:center;align-items:center;background-color:#202020;color:#fcfcfc}footer a{color:#fcfcfc;text-decoration:underline}.justify-content-center{justify-content:center !important}.text-center{text-align:center !important}.text-center{text-align:center}.pos-absolute{right:0;left:0;position:absolute}.box-shadow{box-shadow:0 2px 10px 2px var(--secondary-color-accent)}@media screen and (min-width: 1280px){.content{max-width:60%;min-width:800px}}@media screen and (max-width: 768px){header{padding:10px 30px;flex-direction:column;align-items:center;justify-content:center}.logo{font-size:28px;margin:10px}.logo img{width:45px;margin:0 10px 0 0}.nav-item{margin:0 5px;font-size:14px}.hero{padding:40px 30px}main{padding:30px}.content{padding:0}.explore-more,.toc{display:none}}@media (prefers-color-scheme: dark){.hero{background-color:var(--secondary-color-accent)}img{filter:brightness(.8) contrast(.9);transition:filter .5s ease-in-out}img:hover{filter:brightness(1) contrast(1);opacity:1}} \ No newline at end of file diff --git a/learn/acton-by-example/.nojekyll b/learn/acton-by-example/.nojekyll new file mode 100644 index 0000000..f173110 --- /dev/null +++ b/learn/acton-by-example/.nojekyll @@ -0,0 +1 @@ +This file makes sure that Github Pages doesn't process mdBook's output. diff --git a/learn/acton-by-example/404.html b/learn/acton-by-example/404.html new file mode 100644 index 0000000..145f9c7 --- /dev/null +++ b/learn/acton-by-example/404.html @@ -0,0 +1,201 @@ + + + + + + Page not found + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ + + + + + + + + + + + + +
+ +
+ + + + + + + + +
+
+

Document not found (404)

+

This URL is invalid, sorry. Please use the navigation bar or search to continue.

+ +
+ + +
+
+ + + +
+ + + + + + + + + + + + + + + + + + + +
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z-?ra7<4n?x&FYaE?cEGI)-)$tD$5+muBu}U?sPHFKe+hV5?aCTUXV`J=9AHC=o-*Q zXUuT@-0>M!)m+!o+T(oHaeB!5lJUF^EcXIqSUNsvI7$4;|X#{w!e5pUJ_ zak1J+C*mxrK*L>l)}}XDmB5!T;U_ev;jCB9B2`6t)Wa`7=7pam>YPepUHy>E1}-i| zx=cTq2|P}#Ey5pcy4D8*2oic4dykynV%zxoUkQ#ZS%}$Wd?mL`_nI;G*TmEF^KJp z_vh{DE5H7`9RZOzAku0+?DJ`Ocwh zS7jB5f%YHF1(sTSKSuTtezZh?ey859@nDV}*wx8We3^(^>c;D^k{15Qf0gLJdBw#% zK4AOfnWngIHTLC=dT)#w{3rZBSpE+*HU0+;Htp>`-fzW8*#W`aU5e&a;9&m+kS-Mo literal 0 HcmV?d00001 diff --git a/learn/acton-by-example/actors.html b/learn/acton-by-example/actors.html new file mode 100644 index 0000000..1c65203 --- /dev/null +++ b/learn/acton-by-example/actors.html @@ -0,0 +1,246 @@ + + + + + + Actors + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +

+ + + + + + + + + + + + + +
+ +
+ + + + + + + + +
+
+

Actors

+

Actors is a key concept in Acton. Each actor is a small sequential process with its own private state. Actors communicate with each other through messages, in practice by calling methods on other actors or reading their attributes.

+

Source:

+
# An actor definition
+actor Act(name):
+
+    # Top level code in an actor runs when initializing an actor instance, like
+    # __init__() in Python.
+    print("Starting up actor " + name)
+    
+    def hello():
+        # We can directly access actor arguments, like `name`
+        print("Hello world from " + name)
+
+actor main(env):
+    # Create an actor instance a of Act
+    a = Act("FOO")
+    # Call the actor method hello
+    await async a.hello()
+
+    env.exit(0)
+
+

Compile and run:

+
actonc actors.act
+./actors
+
+

Output:

+
No dependencies found, building project
+Building project in /tmp/tmp_nwgl0ik/example
+  Compiling example.act for release
+   Finished compilation in   0.015 s
+  Final compilation step
+   Finished final compilation step in   0.437 s
+Starting up actor FOO
+Hello world from FOO
+
+ +
+ + +
+
+ + + +
+ + + + + + + + + + + + + + + + + + + +
+ + diff --git a/learn/acton-by-example/actors/async_method_call.html b/learn/acton-by-example/actors/async_method_call.html new file mode 100644 index 0000000..6d8d844 --- /dev/null +++ b/learn/acton-by-example/actors/async_method_call.html @@ -0,0 +1,255 @@ + + + + + + Async Method calls + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ + + + + + + + + + + + + +
+ +
+ + + + + + + + +
+
+

Async Method calls

+

As actors are sequential programs and can only do one thing at a time, it is important not to spend time waiting in a blocking fashion. Acton leverages asynchronous style programming to allow actors to react and run only when necessary. Async is at the core of Acton!

+

A method is called asynchronously when the return value is not used.

+

Source:

+

+def nsieve(n: int):
+    """Sieve of Erathostenes to find primes up to n
+    """
+    count = 0
+    flags = [True] * n
+    for i in range(2, n, 1):
+        if flags[i]:
+            count += 1
+            for j in range(i, n, i):
+                flags[j] = False
+    return count
+
+actor Simon(idx):
+    def say(msg, n):
+        # Simon likes to compute primes and will tell you how many there are under a given number
+        count = nsieve(n)
+        print("Simon%d says: %s.... oh and there are %d primes under %d" % (idx, msg, count, n))
+
+actor main(env):
+    s1 = Simon(1)
+    s2 = Simon(2)
+
+    s1.say("foo", 1000000)
+    s2.say("bar", 5)
+
+    def exit():
+        env.exit(0)
+    after 0.2: exit()
+
+

Compile and run:

+
actonc async.act
+
+

Output:

+
Simon2 says: bar.... oh and there are 2 primes under 5
+Simon1 says: foo.... oh and there are 78498 primes under 1000000
+
+

A method call like s1.say("foo", 100000) does not use the return value of and is thus called asynchronously. We ask s1 to compute primes under 1000000 while s2 only gets to compute primes up to 5 which will invariably run faster. Thus, s2 despite being called after s1, will print out its result before s1. The s1 and s2 actors are called asynchronously and are executed concurrently and in parallel.

+

The call flow can be illustrated like this. We can see how main asynchronously calls s1 and s2 that will be scheduled to run concurrently. The run time system (RTS) will run s1.say() and s2.say() in parallel if there are 2 worker threads available. Per default, there are as many worker threads as available CPU threads.

+
mains2s1after2
+

In addition we see how the call to after 2 schedules the main actor to run again after 2 seconds, specifically it will run the main.exit() method, which in turn exists the whole program.

+ +
+ + +
+
+ + + +
+ + + + + + + + + + + + + + + + + + + +
+ + diff --git a/learn/acton-by-example/actors/attributes.html b/learn/acton-by-example/actors/attributes.html new file mode 100644 index 0000000..34f38d1 --- /dev/null +++ b/learn/acton-by-example/actors/attributes.html @@ -0,0 +1,240 @@ + + + + + + Attributes + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ + + + + + + + + + + + + +
+ +
+ + + + + + + + +
+
+

Actor Attributes & Constants

+

Actors typically contain some private state. We define variable attributes at the top level in the actor using the var keyword and can then access them from any method within the local actor. Note how self. is not needed. Private variables are not visible from other actors.

+

Source:

+
actor Act():
+    var something = 40  # private actor variable attribute
+    fixed = 1234        # public constant
+    
+    def hello():
+        # We can access local actor variable attributes directly, no need for 
+        # self.something or similar
+        something += 2
+        print("Hello, I'm Act & value of 'something' is: " + str(something))
+
+actor main(env):
+    actor1 = Act()
+    await async actor1.hello()
+    print("Externally visible constant: ", actor1.fixed)
+    # This would give an error, try uncommenting it
+    # print(actor1.something)
+
+    env.exit(0)
+
+

Compile and run:

+
actonc attrs.act
+
+

Output:

+
Hello, I'm Act & value of 'something' is: 42
+Externally visible constant:  1234
+
+

Without the var keyword, an actor attribute is a constant. As constants are not mutable, it is safe to make it visible to other actors and it can be accessed like an attribute on an object.

+ +
+ + +
+
+ + + +
+ + + + + + + + + + + + + + + + + + + +
+ + diff --git a/learn/acton-by-example/actors/cleanup.html b/learn/acton-by-example/actors/cleanup.html new file mode 100644 index 0000000..b9cf9b4 --- /dev/null +++ b/learn/acton-by-example/actors/cleanup.html @@ -0,0 +1,258 @@ + + + + + + Cleanup + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ + + + + + + + + + + + + +
+ +
+ + + + + + + + +
+
+

Cleanup / Finalization

+

It is possible to run special code when an actor is about to be garbage collected. This should not be performed by normal actors, this is really only for I/O actors that interact with the environment and might need to also clean up in the environment when the actor is being garbage collected.

+

Define an actor action called __cleanup__ and the run time system will automatically install it to be run at garbage collection time. There is no hard guarantee when the __cleanup__ function will be called and it typically takes a couple of collection rounds to run all finalizers.

+

Source:

+
actor Foo():
+    action def __cleanup__():
+        print("Cleaning up after myself...")
+
+actor main(env):
+    # create a bunch of actors and do not assign reference, so they should be collected
+    for i in range(20):
+        Foo()
+
+    # perform some busy work to eventually trigger the GC and thus finalization
+    # & schedule __cleanup__
+    a = 1
+    for i in range(99999):
+        a += i
+
+    # Delay exit a little bit to let RTS workers pick up the asynchronously
+    # scheduled __cleanup__ actions to run for the unreachable instances of the
+    # Foo actor
+    def _stop():
+        env.exit(0)
+    after 0.1: _stop()
+
+

Output:

+
Cleaning up after myself...
+Cleaning up after myself...
+Cleaning up after myself...
+Cleaning up after myself...
+Cleaning up after myself...
+Cleaning up after myself...
+Cleaning up after myself...
+Cleaning up after myself...
+Cleaning up after myself...
+Cleaning up after myself...
+Cleaning up after myself...
+Cleaning up after myself...
+Cleaning up after myself...
+Cleaning up after myself...
+Cleaning up after myself...
+Cleaning up after myself...
+Cleaning up after myself...
+Cleaning up after myself...
+Cleaning up after myself...
+Cleaning up after myself...
+
+ +
+ + +
+
+ + + +
+ + + + + + + + + + + + + + + + + + + +
+ + diff --git a/learn/acton-by-example/actors/concurrency.html b/learn/acton-by-example/actors/concurrency.html new file mode 100644 index 0000000..8a63c91 --- /dev/null +++ b/learn/acton-by-example/actors/concurrency.html @@ -0,0 +1,265 @@ + + + + + + Concurrency + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ + + + + + + + + + + + + +
+ +
+ + + + + + + + +
+
+

Actor concurrency

+

Multiple actors run concurrently. In this example we can see how the two actors Foo and Bar run concurrently. The main actor is also running concurrently, although it doesn't do anything beyond creating the Foo and Bar actors and exiting after some time.

+

Source:

+
actor Counter(name):
+    var counter = 0
+
+    def periodic():
+        print("I am " + name + " and I have counted to " + str(counter))
+        counter += 1
+
+        # 'after 1' tells the run time system to schedule the specified
+        # function, in this case periodic(), i.e. ourselves, after 1 second
+        after 1: periodic()
+
+    # First invocation of periodic()
+    periodic()
+
+
+actor main(env):
+    # Create two instances of the Counter actor, each with a unique name
+    foo = Counter("Foo")
+    bar = Counter("Bar")
+    
+    def exit():
+        env.exit(0)
+
+    # exit the whole program after 10 seconds
+    after 10: exit()
+
+

Compile and run:

+
actonc concurrency.act
+./concurrency
+
+

Output:

+
I am Foo and I have counted to 0
+I am Bar and I have counted to 0
+I am Foo and I have counted to 1
+I am Bar and I have counted to 1
+I am Foo and I have counted to 2
+I am Bar and I have counted to 2
+I am Foo and I have counted to 3
+I am Bar and I have counted to 3
+I am Foo and I have counted to 4
+I am Bar and I have counted to 4
+I am Bar and I have counted to 5
+I am Foo and I have counted to 5
+I am Bar and I have counted to 6
+I am Foo and I have counted to 6
+I am Bar and I have counted to 7
+I am Foo and I have counted to 7
+I am Foo and I have counted to 8
+I am Bar and I have counted to 8
+I am Foo and I have counted to 9
+I am Bar and I have counted to 9
+
+ +
+ + +
+
+ + + +
+ + + + + + + + + + + + + + + + + + + +
+ + diff --git a/learn/acton-by-example/actors/lifetime.html b/learn/acton-by-example/actors/lifetime.html new file mode 100644 index 0000000..4d78ca4 --- /dev/null +++ b/learn/acton-by-example/actors/lifetime.html @@ -0,0 +1,224 @@ + + + + + + Lifetime + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ + + + + + + + + + + + + +
+ +
+ + + + + + + + +
+
+

Lifetime

+

The main function in most imperative and functional programming languages start at the top and when they reach the end of the function, the whole program exits. Actors exist as long as another actor has a reference to it and will idle, passively waiting for the next method call. Actors without references will be garbage collected. The root actor of a program will always exist even without other references.

+

This means that a simple program like this modified helloworld (the env.exit() call has been removed) will run indefinitely. You need to deliberately tell the run time system to stop the actor world and exit, via env.exit(), in order to exit the program.

+

Source:

+
actor main(env):
+    print("Hello world!")
+
+

Compile and run:

+
actonc noexit.act
+
+

Output:

+
$ ./noexit
+<you will never get your prompt back>
+
+ +
+ + +
+
+ + + +
+ + + + + + + + + + + + + + + + + + + +
+ + diff --git a/learn/acton-by-example/actors/root.html b/learn/acton-by-example/actors/root.html new file mode 100644 index 0000000..a9dd998 --- /dev/null +++ b/learn/acton-by-example/actors/root.html @@ -0,0 +1,226 @@ + + + + + + Root Actor + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ + + + + + + + + + + + + +
+ +
+ + + + + + + + +
+
+

Root Actor

+

Like C has a main() function, Acton has a root actor. To compile a binary executable, there must be a root actor. Per default, if a source (.act) file contains an actor named main, it will be used as the root actor but it can also be specified using the --root argument. While the convention is to call the root actor main, you are free to name it anything.

+

Given this Acton program:

+
actor main(env):
+    print("Hello World!")
+    env.exit(0)
+
+

The following actonc commands will all produce the same output.

+
actonc hello.act
+actonc hello.act --root main
+actonc hello.act --root hello.main
+
+

The first invocation relies on the default rule of using an actor called main. The second invocation explicitly specifies that we want to use main as the root actor while the third uses a qualified name which includes both the actor name (main) as well as the module name (hello). Using qualified names can be particularly useful when building executable binaries in projects.

+

A normal Acton program consists of many actors that are structured in a hierarchical tree. The root actor is at the root of the tree and is responsible for starting all other actors directly or indirectly. The Acton Run Time System (RTS) will bootstrap the root actor.

+
rootAB12345
+

Any executable Acton program must have a root actor defined. Acton libraries (that are included in an another Acton program), do not need a root actor.

+ +
+ + +
+
+ + + +
+ + + + + + + + + + + + + + + + + + + +
+ + diff --git a/learn/acton-by-example/actors/sync_method_call.html b/learn/acton-by-example/actors/sync_method_call.html new file mode 100644 index 0000000..fc36f41 --- /dev/null +++ b/learn/acton-by-example/actors/sync_method_call.html @@ -0,0 +1,239 @@ + + + + + + Sync Method calls + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ + + + + + + + + + + + + +
+ +
+ + + + + + + + +
+
+

Sync Method calls

+

While async is good for performance it makes it somewhat convoluted, forcing use of callbacks, to just return a value. Acton makes it possible to call other actors in a synchronous fashion for ease of use.

+

A method is called synchronously when the return value is used.

+

Source:

+
import acton.rts
+
+actor DeepT():
+    def compute():
+        # some heavy computation going on
+        acton.rts.sleep(1)
+        return 42
+
+actor main(env):
+    d1 = DeepT()
+
+    answer = d1.compute()
+    print("The answer is", answer)
+
+    env.exit(0)
+
+

Compile and run:

+
actonc sync.act
+
+

Output:

+
The answer is 42
+
+

The call flow can be illustrated like this. We can see how the execution of main is suspended while it is waiting for the return value from actor d1.

+
maind1
+

While synchronous is bad because we block waiting for someone else, we are only ever going to wait for another actor to run its method. There is never any wait for I/O or other indefinite waiting, only blocking wait for computation within the Acton system. This is achieved by the lack of blocking calls for I/O, thus even if there is a chain of actors waiting for each other

+ +
+ + +
+
+ + + +
+ + + + + + + + + + + + + + + + + + + +
+ + diff --git a/learn/acton-by-example/ayu-highlight.css b/learn/acton-by-example/ayu-highlight.css new file mode 100644 index 0000000..32c9432 --- /dev/null +++ b/learn/acton-by-example/ayu-highlight.css @@ -0,0 +1,78 @@ +/* +Based off of the Ayu theme +Original by Dempfi (https://github.com/dempfi/ayu) +*/ + +.hljs { + display: block; + overflow-x: auto; + background: #191f26; + color: #e6e1cf; +} + +.hljs-comment, +.hljs-quote { + color: #5c6773; + font-style: italic; +} + +.hljs-variable, +.hljs-template-variable, +.hljs-attribute, +.hljs-attr, +.hljs-regexp, +.hljs-link, +.hljs-selector-id, +.hljs-selector-class { + color: #ff7733; +} + +.hljs-number, +.hljs-meta, +.hljs-builtin-name, +.hljs-literal, +.hljs-type, +.hljs-params { + color: #ffee99; +} + +.hljs-string, +.hljs-bullet { + color: #b8cc52; +} + +.hljs-title, +.hljs-built_in, +.hljs-section { + color: #ffb454; +} + +.hljs-keyword, +.hljs-selector-tag, +.hljs-symbol { + color: #ff7733; +} + +.hljs-name { + color: #36a3d9; +} + +.hljs-tag { + color: #00568d; +} + +.hljs-emphasis { + font-style: italic; +} + +.hljs-strong { + font-weight: bold; +} + +.hljs-addition { + color: #91b362; +} + +.hljs-deletion { + color: #d96c75; +} diff --git a/learn/acton-by-example/book.js b/learn/acton-by-example/book.js new file mode 100644 index 0000000..178f1e9 --- /dev/null +++ b/learn/acton-by-example/book.js @@ -0,0 +1,690 @@ +"use strict"; + +// Fix back button cache problem +window.onunload = function () { }; + +// Global variable, shared between modules +function playground_text(playground, hidden = true) { + let code_block = playground.querySelector("code"); + + if (window.ace && code_block.classList.contains("editable")) { + let editor = window.ace.edit(code_block); + return editor.getValue(); + } else if (hidden) { + return code_block.textContent; + } else { + return code_block.innerText; + } +} + +(function codeSnippets() { + function fetch_with_timeout(url, options, timeout = 6000) { + return Promise.race([ + fetch(url, options), + new Promise((_, reject) => setTimeout(() => reject(new Error('timeout')), timeout)) + ]); + } + + var playgrounds = Array.from(document.querySelectorAll(".playground")); + if (playgrounds.length > 0) { + fetch_with_timeout("https://play.rust-lang.org/meta/crates", { + headers: { + 'Content-Type': "application/json", + }, + method: 'POST', + mode: 'cors', + }) + .then(response => response.json()) + .then(response => { + // get list of crates available in the rust playground + let playground_crates = response.crates.map(item => item["id"]); + playgrounds.forEach(block => handle_crate_list_update(block, playground_crates)); + }); + } + + function handle_crate_list_update(playground_block, playground_crates) { + // update the play buttons after receiving the response + update_play_button(playground_block, playground_crates); + + // and install on change listener to dynamically update ACE editors + if (window.ace) { + let code_block = playground_block.querySelector("code"); + if (code_block.classList.contains("editable")) { + let editor = window.ace.edit(code_block); + editor.addEventListener("change", function (e) { + update_play_button(playground_block, playground_crates); + }); + // add Ctrl-Enter command to execute rust code + editor.commands.addCommand({ + name: "run", + bindKey: { + win: "Ctrl-Enter", + mac: "Ctrl-Enter" + }, + exec: _editor => run_rust_code(playground_block) + }); + } + } + } + + // updates the visibility of play button based on `no_run` class and + // used crates vs ones available on https://play.rust-lang.org + function update_play_button(pre_block, playground_crates) { + var play_button = pre_block.querySelector(".play-button"); + + // skip if code is `no_run` + if (pre_block.querySelector('code').classList.contains("no_run")) { + play_button.classList.add("hidden"); + return; + } + + // get list of `extern crate`'s from snippet + var txt = playground_text(pre_block); + var re = /extern\s+crate\s+([a-zA-Z_0-9]+)\s*;/g; + var snippet_crates = []; + var item; + while (item = re.exec(txt)) { + snippet_crates.push(item[1]); + } + + // check if all used crates are available on play.rust-lang.org + var all_available = snippet_crates.every(function (elem) { + return playground_crates.indexOf(elem) > -1; 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+ copyCodeClipboardButton.innerHTML = ''; + copyCodeClipboardButton.title = 'Copy to clipboard'; + copyCodeClipboardButton.setAttribute('aria-label', copyCodeClipboardButton.title); + + buttons.insertBefore(copyCodeClipboardButton, buttons.firstChild); + } + + let code_block = pre_block.querySelector("code"); + if (window.ace && code_block.classList.contains("editable")) { + var undoChangesButton = document.createElement('button'); + undoChangesButton.className = 'fa fa-history reset-button'; + undoChangesButton.title = 'Undo changes'; + undoChangesButton.setAttribute('aria-label', undoChangesButton.title); + + buttons.insertBefore(undoChangesButton, buttons.firstChild); + + undoChangesButton.addEventListener('click', function () { + let editor = window.ace.edit(code_block); + editor.setValue(editor.originalCode); + editor.clearSelection(); + }); + } + }); +})(); + +(function themes() { + var html = document.querySelector('html'); + var themeToggleButton = document.getElementById('theme-toggle'); + var themePopup = document.getElementById('theme-list'); + var themeColorMetaTag = document.querySelector('meta[name="theme-color"]'); + var themeIds = []; + themePopup.querySelectorAll('button.theme').forEach(function (el) { + themeIds.push(el.id); + }); + var stylesheets = { + ayuHighlight: document.querySelector("[href$='ayu-highlight.css']"), + tomorrowNight: document.querySelector("[href$='tomorrow-night.css']"), + highlight: document.querySelector("[href$='highlight.css']"), + }; + + function showThemes() { + themePopup.style.display = 'block'; + themeToggleButton.setAttribute('aria-expanded', true); + themePopup.querySelector("button#" + get_theme()).focus(); + } + + function updateThemeSelected() { + themePopup.querySelectorAll('.theme-selected').forEach(function (el) { + el.classList.remove('theme-selected'); + }); + themePopup.querySelector("button#" + get_theme()).classList.add('theme-selected'); + } + + function hideThemes() { + themePopup.style.display = 'none'; + themeToggleButton.setAttribute('aria-expanded', false); + themeToggleButton.focus(); + } + + function get_theme() { + var theme; + try { theme = localStorage.getItem('mdbook-theme'); } catch (e) { } + if (theme === null || theme === undefined || !themeIds.includes(theme)) { + return default_theme; + } else { + return theme; + } + } + + function set_theme(theme, store = true) { + let ace_theme; + + if (theme == 'coal' || theme == 'navy') { + stylesheets.ayuHighlight.disabled = true; + stylesheets.tomorrowNight.disabled = false; + stylesheets.highlight.disabled = true; + + ace_theme = "ace/theme/tomorrow_night"; + } else if (theme == 'ayu') { + stylesheets.ayuHighlight.disabled = false; + stylesheets.tomorrowNight.disabled = true; + stylesheets.highlight.disabled = true; + ace_theme = "ace/theme/tomorrow_night"; + } else { + stylesheets.ayuHighlight.disabled = true; + stylesheets.tomorrowNight.disabled = true; + stylesheets.highlight.disabled = false; + ace_theme = "ace/theme/dawn"; + } + + setTimeout(function () { + themeColorMetaTag.content = getComputedStyle(document.documentElement).backgroundColor; + }, 1); + + if (window.ace && window.editors) { + window.editors.forEach(function (editor) { + editor.setTheme(ace_theme); + }); + } + + var previousTheme = get_theme(); + + if (store) { + try { localStorage.setItem('mdbook-theme', theme); } catch (e) { } + } + + html.classList.remove(previousTheme); + html.classList.add(theme); + updateThemeSelected(); + } + + // Set theme + var theme = get_theme(); + + set_theme(theme, false); + + themeToggleButton.addEventListener('click', function () { + if (themePopup.style.display === 'block') { + hideThemes(); + } else { + showThemes(); + } + }); + + themePopup.addEventListener('click', function (e) { + var theme; + if (e.target.className === "theme") { + theme = e.target.id; + } else if (e.target.parentElement.className === "theme") { + theme = e.target.parentElement.id; + } else { + return; + } + set_theme(theme); + }); + + themePopup.addEventListener('focusout', function(e) { + // e.relatedTarget is null in Safari and Firefox on macOS (see workaround below) + if (!!e.relatedTarget && !themeToggleButton.contains(e.relatedTarget) && !themePopup.contains(e.relatedTarget)) { + hideThemes(); + } + }); + + // Should not be needed, but it works around an issue on macOS & iOS: https://github.com/rust-lang/mdBook/issues/628 + document.addEventListener('click', function(e) { + if (themePopup.style.display === 'block' && !themeToggleButton.contains(e.target) && !themePopup.contains(e.target)) { + hideThemes(); + } + }); + + document.addEventListener('keydown', function (e) { + if (e.altKey || e.ctrlKey || e.metaKey || e.shiftKey) { return; } + if (!themePopup.contains(e.target)) { return; } + + switch (e.key) { + case 'Escape': + e.preventDefault(); + hideThemes(); + break; + case 'ArrowUp': + e.preventDefault(); + var li = document.activeElement.parentElement; + if (li && li.previousElementSibling) { + li.previousElementSibling.querySelector('button').focus(); + } + break; + case 'ArrowDown': + e.preventDefault(); + var li = document.activeElement.parentElement; + if (li && li.nextElementSibling) { + li.nextElementSibling.querySelector('button').focus(); + } + break; + case 'Home': + e.preventDefault(); + themePopup.querySelector('li:first-child button').focus(); + break; + case 'End': + e.preventDefault(); + themePopup.querySelector('li:last-child button').focus(); + break; + } + }); +})(); + +(function sidebar() { + var body = document.querySelector("body"); + var sidebar = document.getElementById("sidebar"); + var sidebarLinks = document.querySelectorAll('#sidebar a'); + var sidebarToggleButton = document.getElementById("sidebar-toggle"); + var sidebarResizeHandle = document.getElementById("sidebar-resize-handle"); + var firstContact = null; + + function showSidebar() { + body.classList.remove('sidebar-hidden') + body.classList.add('sidebar-visible'); + Array.from(sidebarLinks).forEach(function (link) { + link.setAttribute('tabIndex', 0); + }); + sidebarToggleButton.setAttribute('aria-expanded', true); + sidebar.setAttribute('aria-hidden', false); + try { localStorage.setItem('mdbook-sidebar', 'visible'); } catch (e) { } + } + + function hideSidebar() { + body.classList.remove('sidebar-visible') + body.classList.add('sidebar-hidden'); + Array.from(sidebarLinks).forEach(function (link) { + link.setAttribute('tabIndex', -1); + }); + sidebarToggleButton.setAttribute('aria-expanded', false); + sidebar.setAttribute('aria-hidden', true); + try { localStorage.setItem('mdbook-sidebar', 'hidden'); } catch (e) { } + } + + // Toggle sidebar + sidebarToggleButton.addEventListener('click', function sidebarToggle() { + if (body.classList.contains("sidebar-hidden")) { + var current_width = parseInt( + document.documentElement.style.getPropertyValue('--sidebar-width'), 10); + if (current_width < 150) { + document.documentElement.style.setProperty('--sidebar-width', '150px'); + } + showSidebar(); + } else if (body.classList.contains("sidebar-visible")) { + hideSidebar(); + } else { + if (getComputedStyle(sidebar)['transform'] === 'none') { + hideSidebar(); + } else { + showSidebar(); + } + } + }); + + sidebarResizeHandle.addEventListener('mousedown', initResize, false); + + function initResize(e) { + window.addEventListener('mousemove', resize, false); + window.addEventListener('mouseup', stopResize, false); + body.classList.add('sidebar-resizing'); + } + function resize(e) { + var pos = (e.clientX - sidebar.offsetLeft); + if (pos < 20) { + hideSidebar(); + } else { + if (body.classList.contains("sidebar-hidden")) { + showSidebar(); + } + pos = Math.min(pos, window.innerWidth - 100); + document.documentElement.style.setProperty('--sidebar-width', pos + 'px'); + } + } + //on mouseup remove windows functions mousemove & mouseup + function stopResize(e) { + body.classList.remove('sidebar-resizing'); + window.removeEventListener('mousemove', resize, false); + window.removeEventListener('mouseup', stopResize, false); + } + + document.addEventListener('touchstart', function (e) { + firstContact = { + x: e.touches[0].clientX, + time: Date.now() + }; + }, { passive: true }); + + document.addEventListener('touchmove', function (e) { + if (!firstContact) + return; + + var curX = e.touches[0].clientX; + var xDiff = curX - firstContact.x, + tDiff = Date.now() - firstContact.time; + + if (tDiff < 250 && Math.abs(xDiff) >= 150) { + if (xDiff >= 0 && firstContact.x < Math.min(document.body.clientWidth * 0.25, 300)) + showSidebar(); + else if (xDiff < 0 && curX < 300) + hideSidebar(); + + firstContact = null; + } + }, { passive: true }); +})(); + +(function chapterNavigation() { + document.addEventListener('keydown', function (e) { + if (e.altKey || e.ctrlKey || e.metaKey || e.shiftKey) { return; } + if (window.search && window.search.hasFocus()) { return; } + var html = document.querySelector('html'); + + function next() { + var nextButton = document.querySelector('.nav-chapters.next'); + if (nextButton) { + window.location.href = nextButton.href; + } + } + function prev() { + var previousButton = document.querySelector('.nav-chapters.previous'); + if (previousButton) { + window.location.href = previousButton.href; + } + } + switch (e.key) { + case 'ArrowRight': + e.preventDefault(); + if (html.dir == 'rtl') { + prev(); + } else { + next(); + } + break; + case 'ArrowLeft': + e.preventDefault(); + if (html.dir == 'rtl') { + next(); + } else { + prev(); + } + break; + } + }); +})(); + +(function clipboard() { + var clipButtons = document.querySelectorAll('.clip-button'); + + function hideTooltip(elem) { + elem.firstChild.innerText = ""; + elem.className = 'clip-button'; + } + + function showTooltip(elem, msg) { + elem.firstChild.innerText = msg; + elem.className = 'clip-button tooltipped'; + } + + var clipboardSnippets = new ClipboardJS('.clip-button', { + text: function (trigger) { + hideTooltip(trigger); + let playground = trigger.closest("pre"); + return playground_text(playground, false); + } + }); + + Array.from(clipButtons).forEach(function (clipButton) { + clipButton.addEventListener('mouseout', function (e) { + hideTooltip(e.currentTarget); + }); + }); + + clipboardSnippets.on('success', function (e) { + e.clearSelection(); + showTooltip(e.trigger, "Copied!"); + }); + + clipboardSnippets.on('error', function (e) { + showTooltip(e.trigger, "Clipboard error!"); + }); +})(); + +(function scrollToTop () { + var menuTitle = document.querySelector('.menu-title'); + + menuTitle.addEventListener('click', function () { + document.scrollingElement.scrollTo({ top: 0, behavior: 'smooth' }); + }); +})(); + +(function controllMenu() { + var menu = document.getElementById('menu-bar'); + + (function controllPosition() { + var scrollTop = document.scrollingElement.scrollTop; + var prevScrollTop = scrollTop; + var minMenuY = -menu.clientHeight - 50; + // When the script loads, the page can be at any scroll (e.g. if you reforesh it). + menu.style.top = scrollTop + 'px'; + // Same as parseInt(menu.style.top.slice(0, -2), but faster + var topCache = menu.style.top.slice(0, -2); + menu.classList.remove('sticky'); + var stickyCache = false; // Same as menu.classList.contains('sticky'), but faster + document.addEventListener('scroll', function () { + scrollTop = Math.max(document.scrollingElement.scrollTop, 0); + // `null` means that it doesn't need to be updated + var nextSticky = null; + var nextTop = null; + var scrollDown = scrollTop > prevScrollTop; + var menuPosAbsoluteY = topCache - scrollTop; + if (scrollDown) { + nextSticky = false; + if (menuPosAbsoluteY > 0) { + nextTop = prevScrollTop; + } + } else { + if (menuPosAbsoluteY > 0) { + nextSticky = true; + } else if (menuPosAbsoluteY < minMenuY) { + nextTop = prevScrollTop + minMenuY; + } + } + if (nextSticky === true && stickyCache === false) { + menu.classList.add('sticky'); + stickyCache = true; + } else if (nextSticky === false && stickyCache === true) { + menu.classList.remove('sticky'); + stickyCache = false; + } + if (nextTop !== null) { + menu.style.top = nextTop + 'px'; + topCache = nextTop; + } + prevScrollTop = scrollTop; + }, { passive: true }); + })(); + (function controllBorder() { + function updateBorder() { + if (menu.offsetTop === 0) { + menu.classList.remove('bordered'); + } else { + menu.classList.add('bordered'); + } + } + updateBorder(); + document.addEventListener('scroll', updateBorder, { passive: true }); + })(); +})(); diff --git a/learn/acton-by-example/classes/inheritance.html b/learn/acton-by-example/classes/inheritance.html new file mode 100644 index 0000000..d4e0f57 --- /dev/null +++ b/learn/acton-by-example/classes/inheritance.html @@ -0,0 +1,248 @@ + + + + + + Inheritance + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ + + + + + + + + + + + + +
+ +
+ + + + + + + + +
+
+

Class Inheritance

+

Inheritance is a way of creating a new class from an existing class. The new class is called the derived class and the existing class from which we inherit is called the base class. The derived class inherits all the attributes and methods of the base class. The derived class can extend the base class by adding more attributes or methods. It is also possible to override methods to create more specific functionality.

+

We add the area() to Circle to get the area and realize that the unlike the diameter, area is common for all gemetric shapes. Thus we create a base class Shape that defines the area() method, but does not implement it since there is no generic way to compute the area for all shapes. Each concrete class, like Circle and Square, should implement area().

+

Source:

+
class Shape(object):
+    def area(self) -> float:
+        raise NotImplementedError("This method should be overridden by subclasses")
+
+
+class Circle(Shape):
+    radius: float
+
+    def __init__(self, radius):
+        self.radius = radius
+
+    def diameter(self):
+        return self.radius * 2
+
+    def area(self):
+        return 3.14 * self.radius ** 2
+
+
+class Square(Shape):
+    def __init__(self, side: float):
+        self.side = side
+
+    def area(self) -> float:
+        return self.side ** 2
+
+
+actor main(env):
+    circle = Circle(3.14)
+    square = Square(3.14)
+    print(circle.area() + square.area())
+    env.exit(0)
+
+

Inheritance is one of the primary methods, if not the primary method, of structuring programs in the object oriented paradigm.

+

Shape is an abstract class because it has no __init__ method.

+ +
+ + +
+
+ + + +
+ + + + + + + + + + + + + + + + + + + +
+ + diff --git a/learn/acton-by-example/classes/intro.html b/learn/acton-by-example/classes/intro.html new file mode 100644 index 0000000..7510f28 --- /dev/null +++ b/learn/acton-by-example/classes/intro.html @@ -0,0 +1,232 @@ + + + + + + Classes + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ + + + + + + + + + + + + +
+ +
+ + + + + + + + +
+
+

Classes and Objects

+

Acton supports the object-oriented paradigm, which means that it provides features to create classes and objects, which are instances of classes. Classes are a fundamental concept in an object-oriented world and they allow programmers to create their own data types with their own attributes and methods.

+

A class is defined using the class keyword followed by the name of the class. The convention is to use CamelCase for class names.

+
class Circle(object):
+    radius: float
+
+    def __init__(self, radius):
+        self.radius = radius
+
+    def diameter(self):
+        return self.radius * 2
+
+

Attributes are variables that hold data for an object of a particular class and methods are functions that operate on that data. In the above example, radius is an attribute of the Circle class and diameter() is a method that returns the diameter.

+

Class methods must have self as the first argument, which refers to the object instance of the class that the method is called on.

+

Creating an object

+

A Class is like a blueprint and an object is an instance of such a blueprint. To create an object, or "instantiate", we use the "blueprint" (class), like so:

+
circle = Circle(3.14)
+
+

Here we create the object circle from the class Circle, passing the parameter 3.14 which will be used to set the radius attribute of the object.

+
print(circle.diameter())
+
+

And here we print the diameter of the circle by calling the .diameter() method.

+ +
+ + +
+
+ + + +
+ + + + + + + + + + + + + + + + + + + +
+ + diff --git a/learn/acton-by-example/clipboard.min.js b/learn/acton-by-example/clipboard.min.js new file mode 100644 index 0000000..02c549e --- /dev/null +++ b/learn/acton-by-example/clipboard.min.js @@ -0,0 +1,7 @@ +/*! + * clipboard.js v2.0.4 + * https://zenorocha.github.io/clipboard.js + * + * Licensed MIT © Zeno Rocha + */ +!function(t,e){"object"==typeof exports&&"object"==typeof module?module.exports=e():"function"==typeof define&&define.amd?define([],e):"object"==typeof exports?exports.ClipboardJS=e():t.ClipboardJS=e()}(this,function(){return function(n){var o={};function r(t){if(o[t])return o[t].exports;var e=o[t]={i:t,l:!1,exports:{}};return n[t].call(e.exports,e,e.exports,r),e.l=!0,e.exports}return r.m=n,r.c=o,r.d=function(t,e,n){r.o(t,e)||Object.defineProperty(t,e,{enumerable:!0,get:n})},r.r=function(t){"undefined"!=typeof Symbol&&Symbol.toStringTag&&Object.defineProperty(t,Symbol.toStringTag,{value:"Module"}),Object.defineProperty(t,"__esModule",{value:!0})},r.t=function(e,t){if(1&t&&(e=r(e)),8&t)return e;if(4&t&&"object"==typeof e&&e&&e.__esModule)return e;var n=Object.create(null);if(r.r(n),Object.defineProperty(n,"default",{enumerable:!0,value:e}),2&t&&"string"!=typeof e)for(var o in e)r.d(n,o,function(t){return e[t]}.bind(null,o));return n},r.n=function(t){var e=t&&t.__esModule?function(){return t.default}:function(){return t};return r.d(e,"a",e),e},r.o=function(t,e){return Object.prototype.hasOwnProperty.call(t,e)},r.p="",r(r.s=0)}([function(t,e,n){"use strict";var r="function"==typeof Symbol&&"symbol"==typeof Symbol.iterator?function(t){return typeof t}:function(t){return t&&"function"==typeof Symbol&&t.constructor===Symbol&&t!==Symbol.prototype?"symbol":typeof t},i=function(){function o(t,e){for(var n=0;n + + + + + Build System + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ + + + + + + + + + + + + +
+ +
+ + + + + + + + +
+
+

Compilation

+

Acton is a compiled language and as such, outputs binary executables. It is possible to influence the compilation process in various ways.

+

Optimized for native CPU features

+

The default target is somewhat conservative to ensure a reasonable amount of compatibility. On Linux, the default target is GNU Libc version 2.27 which makes it possible to run Acton programs on Ubuntu 18.04 and similar old operating systems. Similarly, a generic x86_64 CPU is assumed which means that newer extra CPU instruction sets are not used.

+

To compile an executable optimized for the local computer, use --target native. In many cases it can lead to a significant faster program, often running 30% to 100% faster.

+

Statically linked executables using musl for portability

+

On Linux, executable programs can be statically linked using the Musl C library, which maximizes portability as there are no runtime dependencies at all.

+

To compile an executable optimized for portability using musl on x86_64, use --target x86_64-linux-musl.

+

A default compiled program is dynamically linked with GNU libc & friends

+
$ actonc helloworld.act
+Building file helloworld.act
+  Compiling helloworld.act for release
+   Finished compilation in   0.013 s
+  Final compilation step
+   Finished final compilation step in   0.224 s
+$ ldd helloworld
+        linux-vdso.so.1 (0x00007fff2975b000)
+        libm.so.6 => /lib/x86_64-linux-gnu/libm.so.6 (0x00007f11f472a000)
+        libpthread.so.0 => /lib/x86_64-linux-gnu/libpthread.so.0 (0x00007f11f4725000)
+        libc.so.6 => /lib/x86_64-linux-gnu/libc.so.6 (0x00007f11f4544000)
+        libdl.so.2 => /lib/x86_64-linux-gnu/libdl.so.2 (0x00007f11f453f000)
+        /lib64/ld-linux-x86-64.so.2 (0x00007f11f4827000)
+$
+
+

A program linked statically towards Musl has no run time dependencies:

+
$ actonc helloworld.act --target x86_64-linux-musl
+Building file helloworld.act
+  Compiling helloworld.act for release
+   Finished compilation in   0.013 s
+  Final compilation step
+   Finished final compilation step in   0.224 s
+$ ldd helloworld
+        not a dynamic executable
+$
+
+

Although untested, static linking with musl should work on other CPU architectures.

+

MacOS does not support static compilation.

+

Cross-compilation

+

Acton supports cross-compilation, which means that it is possible to run develop on one computer, say a Linux computer with an x86-64 CPU but build an executable binary that can run on a MacOS computer.

+

Here's such an example. We can see how per default, the output is an ELF binary for x86-64. By setting the --target argument, actonc will instead produce an executable for a Mac.

+
$ actonc --quiet helloworld.act
+$ file helloworld
+helloworld: ELF 64-bit LSB executable, x86-64, version 1 (SYSV), dynamically linked, interpreter /lib64/ld-linux-x86-64.so.2, for GNU/Linux 2.0.0, with debug_info, not stripped
+$ actonc --quiet helloworld.act --target x86_64-macos-none
+$ file helloworld
+helloworld: Mach-O 64-bit x86_64 executable, flags:<NOUNDEFS|DYLDLINK|TWOLEVEL|PIE>
+
+

It is not only possible to compile for other operating systems, but also for other CPU architectures. For example, use --target aarch64-macos-any to produce a binary executable for an Apple M1/M2 CPU.

+

Prebuilt libraries

+

Acton ships with prebuilt libraries for the local platforms default target, i.e. if you install Acton on a x86-64 Linux machine, it will have libraries prebuilt for x86_64-linux-gnu.2.27. The default target uses these prebuilt libraries which results in a fast build:

+
$ actonc helloworld.act
+Building file helloworld.act
+  Compiling helloworld.act for release
+   Finished compilation in   0.013 s
+  Final compilation step
+   Finished final compilation step in   0.224 s
+$
+
+

When targeting something that is not the default target, the entire Acton system, including builtins, the run time system, the standard library and external library dependencies is built from source and can take a significant amount of time. The build process is highly parallelized and cached. For example, on an AMD 5950X with 16 cores / 32 threads, it takes around 7 seconds to do a complete rebuild for a small Acton program as can be seen here:

+
$ actonc helloworld.act --target aarch64-macos-none
+Building file helloworld.act
+  Compiling helloworld.act for release
+   Finished compilation in   0.012 s
+  Final compilation step
+   Finished final compilation step in   6.847 s
+$
+
+

Build cache

+

In an Acton project, there is a build cache, is is stored in a directory called build-cache in the project directory. The cache is always used for the project local files. If a non-default --target is being used, the built output of the Acton system is also stored in the cache, which means that it is only the first time around that it is slow. Any subsequent build is going to use the cache and run very fast. Like in this example, where the first invocation takes 6.120 seconds and the second one runs in 0.068 seconds.

+
$ actonc new hello
+Created project hello
+Enter your new project directory with:
+  cd hello
+Compile:
+  actonc build
+Run:
+  ./out/bin/hello
+
+Initialized empty Git repository in /home/kll/hello/.git/
+$ cd hello/
+$ actonc build --target native
+Building project in /home/kll/hello
+  Compiling hello.act for release
+   Finished compilation in   0.012 s
+  Final compilation step
+   Finished final compilation step in   6.120 s
+$ actonc build --target native
+Building project in /home/kll/hello
+  Compiling hello.act for release
+   Already up to date, in    0.000 s
+  Final compilation step
+   Finished final compilation step in   0.068 s
+$
+
+

When compiling standalone .act files, there is no project and thus no persistent cache, so using a custom --target will always incur a penalty.

+ +
+ + +
+
+ + + +
+ + + + + + + + + + + + + + + + + + + +
+ + diff --git a/learn/acton-by-example/control_flow.html b/learn/acton-by-example/control_flow.html new file mode 100644 index 0000000..63247d3 --- /dev/null +++ b/learn/acton-by-example/control_flow.html @@ -0,0 +1,219 @@ + + + + + + Control flow + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ + + + + + + + + + + + + +
+ +
+ + + + + + + + +
+
+

Control flow

+

A crucial part in any imperative program is to control the flow of execution. Acton supports a number of different constructs for this:

+ + +
+ + +
+
+ + + +
+ + + + + + + + + + + + + + + + + + + +
+ + diff --git a/learn/acton-by-example/control_flow/actors.html b/learn/acton-by-example/control_flow/actors.html new file mode 100644 index 0000000..1c1e8e9 --- /dev/null +++ b/learn/acton-by-example/control_flow/actors.html @@ -0,0 +1,214 @@ + + + + + + actors + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ + + + + + + + + + + + + +
+ +
+ + + + + + + + +
+
+

Control flow in an async actor world

+

The basic control flow of most programming languages involve a starting point, like a main function, which is run from top to bottom, after which the program implicitly terminates. The basic objective is to feed instructions to the CPU and this goal remains through increasing levels of abstractions. Acton is different. Once created, an actor will simply remain indefinitely, waiting for incoming messages in the form of actor method calls. See Actor Lifetime.

+

A mental model of actors

+

Actors in an Acton program form a vast web of interconnected actors. Some actors are on the edge of the Acton realm, bordering to the external world where they may be doing I/O with external entities, through files, sockets or other means. All I/O is callback based and thus event driven and reactive. When there is an event, an actors reacts, perhaps initiating calls to other actors. A ripple runs across the web of actors, each reacting to incoming messages and acting accordingly.

+ +
+ + +
+
+ + + +
+ + + + + + + + + + + + + + + + + + + +
+ + diff --git a/learn/acton-by-example/control_flow/after_sleep.html b/learn/acton-by-example/control_flow/after_sleep.html new file mode 100644 index 0000000..b401708 --- /dev/null +++ b/learn/acton-by-example/control_flow/after_sleep.html @@ -0,0 +1,256 @@ + + + + + + after / sleep + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ + + + + + + + + + + + + +
+ +
+ + + + + + + + +
+
+

after and sleep

+

In many languages, it is fairly common to use sleep() for things like timeouts, pacing and similar. In Acton, and more generally in async actor based languages, sleeping is frowned upon and often not even available.

+

The idiomatic control pattern in Acton is using after, like after 42.1337: foo(). This tells the run time system (RTS) to schedule the execution of the foo() function after 42.1337 seconds. Meanwhile, other methods on the actor can be invoked.

+

Source:

+
import time
+
+"""Pace the sending of messages to once a second
+"""
+
+actor Receiver():
+    def recv(msg):
+        print("At " + str(time.now()) + ", I received a message:", msg)
+
+actor main(env):
+    var i = 0
+    r = Receiver()
+
+    def send_msg():
+        # Send a message, increment i
+        r.recv("Hello " + str(i))
+        i += 1
+
+        # ... and reschedule execution of ourselves in 1 second
+        after 1: send_msg()
+        
+        # Exit after awhile
+        if i > 4:
+            env.exit(0)
+        
+    # Kick off the whole thing
+    send_msg()
+
+

Compile and run:

+
actonc after_pace.md
+
+

Since the output includes time, you will naturally get a slightly different result if you run this.

+

Output:

+
At 2023-05-16T10:08:59.135806428+02, I received a message: Hello 0
+At 2023-05-16T10:09:00.136484032+02, I received a message: Hello 1
+At 2023-05-16T10:09:01.135585727+02, I received a message: Hello 2
+At 2023-05-16T10:09:02.135695030+02, I received a message: Hello 3
+At 2023-05-16T10:09:03.135811176+02, I received a message: Hello 4
+
+

There is in fact a sleep function in Acton, hidden away in the acton.rts module. Do NOT use it! It is intended only for debugging of the RTS itself and will probably disappear from the standard library before 1.0. Despite it, we consider the language to not have a sleep.

+

Actors should either be actively processing or at rest. Conceptually, a sleep is an active wait, in the sense that the RTS will just sit there waiting for the sleep to finish, it is blocked, while it really could process something else in between, like run a different actor method continuation. Similarly, the actor itself could have had other methods on it invoked instead of being actively blocked on a sleep. Being blocked is very bad, which is why all I/O is asynchronous in Acton and why there is no sleep.

+

sleep is evil, use after!

+ +
+ + +
+
+ + + +
+ + + + + + + + + + + + + + + + + + + +
+ + diff --git a/learn/acton-by-example/control_flow/for.html b/learn/acton-by-example/control_flow/for.html new file mode 100644 index 0000000..ee56bfa --- /dev/null +++ b/learn/acton-by-example/control_flow/for.html @@ -0,0 +1,334 @@ + + + + + + for + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ + + + + + + + + + + + + +
+ +
+ + + + + + + + +
+
+

for

+

Iteration is a core concept in programming and for loops are perhaps the most well known.

+

Acton supports the for in construct to iterate through an Iterator.

+

Source:

+

+actor main(env):
+
+    for n in range(1, 100, 1):
+        if n % 15 == 0:
+            print("fizzbuzz")
+        elif n % 3 == 0:
+            print("fizz")
+        elif n % 5 == 0:
+            print("buzz")
+        else:
+            print(n)
+
+    env.exit(0)
+
+

Compile and run:

+
actonc while.act
+
+

Note that the output is random and you could get a different result.

+

Output:

+
1
+2
+fizz
+4
+buzz
+fizz
+7
+8
+fizz
+buzz
+11
+fizz
+13
+14
+fizzbuzz
+16
+17
+fizz
+19
+buzz
+fizz
+22
+23
+fizz
+buzz
+26
+fizz
+28
+29
+fizzbuzz
+31
+32
+fizz
+34
+buzz
+fizz
+37
+38
+fizz
+buzz
+41
+fizz
+43
+44
+fizzbuzz
+46
+47
+fizz
+49
+buzz
+fizz
+52
+53
+fizz
+buzz
+56
+fizz
+58
+59
+fizzbuzz
+61
+62
+fizz
+64
+buzz
+fizz
+67
+68
+fizz
+buzz
+71
+fizz
+73
+74
+fizzbuzz
+76
+77
+fizz
+79
+buzz
+fizz
+82
+83
+fizz
+buzz
+86
+fizz
+88
+89
+fizzbuzz
+91
+92
+fizz
+94
+buzz
+fizz
+97
+98
+fizz
+
+ +
+ + +
+
+ + + +
+ + + + + + + + + + + + + + + + + + + +
+ + diff --git a/learn/acton-by-example/control_flow/if_else.html b/learn/acton-by-example/control_flow/if_else.html new file mode 100644 index 0000000..68ca1af --- /dev/null +++ b/learn/acton-by-example/control_flow/if_else.html @@ -0,0 +1,257 @@ + + + + + + if / elif / else + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ + + + + + + + + + + + + +
+ +
+ + + + + + + + +
+
+

if / elif / else

+

Acton supports the if / elif / else construct - the corner stone of programming control flow.

+

The conditionals evaluated by if / elif / else are expressions.

+

Source:

+

+def whatnum(n):
+
+    if n < 0:
+        print(n, "is negative")
+    elif n > 0:
+        print(n, "is positive")
+    else:
+        print(n, "is zero")
+
+
+def inrange(n):
+    if n < 10 and n > 5:
+        print(n, "is between 5 and 10")
+    else:
+        print(n, "is outside of the range 5-10")
+
+actor main(env):
+
+    whatnum(5)
+    whatnum(1337)
+    whatnum(-7)
+    whatnum(0)
+    
+    inrange(3)
+    inrange(-7)
+    inrange(7)
+
+    env.exit(0)
+
+

Compile and run:

+
actonc if_else.act
+
+

Note that the output is random and you could get a different result.

+

Output:

+
5 is positive
+1337 is positive
+-7 is negative
+0 is zero
+3 is outside of the range 5-10
+-7 is outside of the range 5-10
+7 is between 5 and 10
+
+ +
+ + +
+
+ + + +
+ + + + + + + + + + + + + + + + + + + +
+ + diff --git a/learn/acton-by-example/control_flow/while.html b/learn/acton-by-example/control_flow/while.html new file mode 100644 index 0000000..9fbd426 --- /dev/null +++ b/learn/acton-by-example/control_flow/while.html @@ -0,0 +1,241 @@ + + + + + + while + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ + + + + + + + + + + + + +
+ +
+ + + + + + + + +
+
+

while

+

The while construct can be used to run a loop while a condition is true.

+

Source:

+
import random
+
+def throw_dice():
+    number = random.randint(1,6)
+    print("Dice:", number)
+    return number
+
+actor main(env):
+    var luck = True
+
+    while luck:
+        if throw_dice() == 4:
+            # ran out of luck, nobody likes a 4
+            luck = False
+
+    env.exit(0)
+
+

Compile and run:

+
actonc while.act
+
+

Note that the output is random and you could get a different result.

+

Output:

+
Dice: 3
+Dice: 1
+Dice: 5
+Dice: 2
+Dice: 4
+
+ +
+ + +
+
+ + + +
+ + + + + + + + + + + + + + + + + + + +
+ + diff --git a/learn/acton-by-example/css/chrome.css b/learn/acton-by-example/css/chrome.css new file mode 100644 index 0000000..4cd7308 --- /dev/null +++ b/learn/acton-by-example/css/chrome.css @@ -0,0 +1,640 @@ +/* CSS for UI elements (a.k.a. chrome) */ + +html { + scrollbar-color: var(--scrollbar) var(--bg); +} +#searchresults a, +.content a:link, +a:visited, +a > .hljs { + color: var(--links); +} + +/* + body-container is necessary because mobile browsers don't seem to like + overflow-x on the body tag when there is a tag. +*/ +#body-container { + /* + This is used when the sidebar pushes the body content off the side of + the screen on small screens. Without it, dragging on mobile Safari + will want to reposition the viewport in a weird way. + */ + overflow-x: clip; +} + +/* Menu Bar */ + +#menu-bar, +#menu-bar-hover-placeholder { + z-index: 101; + margin: auto calc(0px - var(--page-padding)); +} +#menu-bar { + position: relative; + display: flex; + flex-wrap: wrap; + background-color: var(--bg); + border-block-end-color: var(--bg); + border-block-end-width: 1px; + border-block-end-style: solid; +} +#menu-bar.sticky, +#menu-bar-hover-placeholder:hover + #menu-bar, +#menu-bar:hover, +html.sidebar-visible #menu-bar { + position: -webkit-sticky; + position: sticky; + top: 0 !important; +} +#menu-bar-hover-placeholder { + position: sticky; + position: -webkit-sticky; + top: 0; + height: var(--menu-bar-height); +} +#menu-bar.bordered { + border-block-end-color: var(--table-border-color); +} +#menu-bar i, #menu-bar .icon-button { + position: relative; + padding: 0 8px; + z-index: 10; + line-height: var(--menu-bar-height); + cursor: pointer; + transition: color 0.5s; +} +@media only screen and (max-width: 420px) { + #menu-bar i, #menu-bar .icon-button { + padding: 0 5px; + } +} + +.icon-button { + border: none; + background: none; + padding: 0; + color: inherit; +} +.icon-button i { + margin: 0; +} + +.right-buttons { + margin: 0 15px; +} +.right-buttons a { + text-decoration: none; +} + +.left-buttons { + display: flex; + margin: 0 5px; +} +html:not(.js) .left-buttons button { + display: none; +} + +.menu-title { + display: inline-block; + font-weight: 200; + font-size: 2.4rem; + line-height: var(--menu-bar-height); + text-align: center; + margin: 0; + flex: 1; + white-space: nowrap; + overflow: hidden; + text-overflow: ellipsis; +} +.menu-title { + cursor: pointer; +} + +.menu-bar, +.menu-bar:visited, +.nav-chapters, +.nav-chapters:visited, +.mobile-nav-chapters, +.mobile-nav-chapters:visited, +.menu-bar .icon-button, +.menu-bar a i { + color: var(--icons); +} + +.menu-bar i:hover, +.menu-bar .icon-button:hover, +.nav-chapters:hover, +.mobile-nav-chapters i:hover { + color: var(--icons-hover); +} + +/* Nav Icons */ + +.nav-chapters { + font-size: 2.5em; + text-align: center; + text-decoration: none; + + position: fixed; + top: 0; + bottom: 0; + margin: 0; + max-width: 150px; + min-width: 90px; + + display: flex; + justify-content: center; + align-content: center; + flex-direction: column; + + transition: color 0.5s, background-color 0.5s; +} + +.nav-chapters:hover { + text-decoration: none; + background-color: var(--theme-hover); + transition: background-color 0.15s, color 0.15s; +} + +.nav-wrapper { + margin-block-start: 50px; + display: none; +} + +.mobile-nav-chapters { + font-size: 2.5em; + text-align: center; + text-decoration: none; + width: 90px; + border-radius: 5px; + background-color: var(--sidebar-bg); +} + +/* Only Firefox supports flow-relative values */ +.previous { float: left; } +[dir=rtl] .previous { float: right; } + +/* Only Firefox supports flow-relative values */ +.next { + float: right; + right: var(--page-padding); +} +[dir=rtl] .next { + float: left; + right: unset; + left: var(--page-padding); +} + +/* Use the correct buttons for RTL layouts*/ +[dir=rtl] .previous i.fa-angle-left:before {content:"\f105";} +[dir=rtl] .next i.fa-angle-right:before { content:"\f104"; } + +@media only screen and (max-width: 1080px) { + .nav-wide-wrapper { display: none; } + .nav-wrapper { display: block; } +} + +/* sidebar-visible */ +@media only screen and (max-width: 1380px) { + #sidebar-toggle-anchor:checked ~ .page-wrapper .nav-wide-wrapper { display: none; } + #sidebar-toggle-anchor:checked ~ .page-wrapper .nav-wrapper { display: block; } +} + +/* Inline code */ + +:not(pre) > .hljs { + display: inline; + padding: 0.1em 0.3em; + border-radius: 3px; +} + +:not(pre):not(a) > .hljs { + color: var(--inline-code-color); + overflow-x: initial; +} + +a:hover > .hljs { + text-decoration: underline; +} + +pre { + position: relative; +} +pre > .buttons { + position: absolute; + z-index: 100; + right: 0px; + top: 2px; + margin: 0px; + padding: 2px 0px; + + color: var(--sidebar-fg); + cursor: pointer; + visibility: hidden; + opacity: 0; + transition: visibility 0.1s linear, opacity 0.1s linear; +} +pre:hover > .buttons { + visibility: visible; + opacity: 1 +} +pre > .buttons :hover { + color: var(--sidebar-active); + border-color: var(--icons-hover); + background-color: var(--theme-hover); +} +pre > .buttons i { + margin-inline-start: 8px; +} +pre > .buttons button { + cursor: inherit; + margin: 0px 5px; + padding: 4px 4px 3px 5px; + font-size: 23px; + + border-style: solid; + border-width: 1px; + border-radius: 4px; + border-color: var(--icons); + background-color: var(--theme-popup-bg); + transition: 100ms; + transition-property: color,border-color,background-color; + color: var(--icons); +} + +pre > .buttons button.clip-button { + padding: 2px 4px 0px 6px; +} +pre > .buttons button.clip-button::before { + /* clipboard image from octicons (https://github.com/primer/octicons/tree/v2.0.0) MIT license + */ + content: url('data:image/svg+xml,\ +\ +\ +'); + filter: var(--copy-button-filter); +} +pre > .buttons button.clip-button:hover::before { + filter: var(--copy-button-filter-hover); +} + +@media (pointer: coarse) { + pre > .buttons button { + /* On mobile, make it easier to tap buttons. */ + padding: 0.3rem 1rem; + } + + .sidebar-resize-indicator { + /* Hide resize indicator on devices with limited accuracy */ + display: none; + } +} +pre > code { + display: block; + padding: 1rem; +} + +/* FIXME: ACE editors overlap their buttons because ACE does absolute + positioning within the code block which breaks padding. The only solution I + can think of is to move the padding to the outer pre tag (or insert a div + wrapper), but that would require fixing a whole bunch of CSS rules. +*/ +.hljs.ace_editor { + padding: 0rem 0rem; +} + +pre > .result { + margin-block-start: 10px; +} + +/* Search */ + +#searchresults a { + text-decoration: none; +} + +mark { + border-radius: 2px; + padding-block-start: 0; + padding-block-end: 1px; + padding-inline-start: 3px; + padding-inline-end: 3px; + margin-block-start: 0; + margin-block-end: -1px; + margin-inline-start: -3px; + margin-inline-end: -3px; + background-color: var(--search-mark-bg); + transition: background-color 300ms linear; + cursor: pointer; +} + +mark.fade-out { + background-color: rgba(0,0,0,0) !important; + cursor: auto; +} + +.searchbar-outer { + margin-inline-start: auto; + margin-inline-end: auto; + max-width: var(--content-max-width); +} + +#searchbar { + width: 100%; + margin-block-start: 5px; + margin-block-end: 0; + margin-inline-start: auto; + margin-inline-end: auto; + padding: 10px 16px; + transition: box-shadow 300ms ease-in-out; + border: 1px solid var(--searchbar-border-color); + border-radius: 3px; + background-color: var(--searchbar-bg); + color: var(--searchbar-fg); +} +#searchbar:focus, +#searchbar.active { + box-shadow: 0 0 3px var(--searchbar-shadow-color); +} + +.searchresults-header { + font-weight: bold; + font-size: 1em; + padding-block-start: 18px; + padding-block-end: 0; + padding-inline-start: 5px; + padding-inline-end: 0; + color: var(--searchresults-header-fg); +} + +.searchresults-outer { + margin-inline-start: auto; + margin-inline-end: auto; + max-width: var(--content-max-width); + border-block-end: 1px dashed var(--searchresults-border-color); +} + +ul#searchresults { + list-style: none; + padding-inline-start: 20px; +} +ul#searchresults li { + margin: 10px 0px; + padding: 2px; + border-radius: 2px; +} +ul#searchresults li.focus { + background-color: var(--searchresults-li-bg); +} +ul#searchresults span.teaser { + display: block; + clear: both; + margin-block-start: 5px; + margin-block-end: 0; + margin-inline-start: 20px; + margin-inline-end: 0; + font-size: 0.8em; +} +ul#searchresults span.teaser em { + font-weight: bold; + font-style: normal; +} + +/* Sidebar */ + +.sidebar { + position: fixed; + left: 0; + top: 0; + bottom: 0; + width: var(--sidebar-width); + font-size: 0.875em; + box-sizing: border-box; + -webkit-overflow-scrolling: touch; + overscroll-behavior-y: contain; + background-color: var(--sidebar-bg); + color: var(--sidebar-fg); +} +.sidebar-iframe-inner { + background-color: var(--sidebar-bg); + color: var(--sidebar-fg); + padding: 10px 10px; + margin: 0; + font-size: 1.4rem; +} +.sidebar-iframe-outer { + border: none; + height: 100%; + position: absolute; + top: 0; + bottom: 0; + left: 0; + right: 0; +} +[dir=rtl] .sidebar { left: unset; right: 0; } +.sidebar-resizing { + -moz-user-select: none; + -webkit-user-select: none; + -ms-user-select: none; + user-select: none; +} +html:not(.sidebar-resizing) .sidebar { + transition: transform 0.3s; /* Animation: slide away */ +} +.sidebar code { + line-height: 2em; +} +.sidebar .sidebar-scrollbox { + overflow-y: auto; + position: absolute; + top: 0; + bottom: 0; + left: 0; + right: 0; + padding: 10px 10px; +} +.sidebar .sidebar-resize-handle { + position: absolute; + cursor: col-resize; + width: 0; + right: calc(var(--sidebar-resize-indicator-width) * -1); + top: 0; + bottom: 0; + display: flex; + align-items: center; +} + +.sidebar-resize-handle .sidebar-resize-indicator { + width: 100%; + height: 12px; + background-color: var(--icons); + margin-inline-start: var(--sidebar-resize-indicator-space); +} + +[dir=rtl] .sidebar .sidebar-resize-handle { + left: calc(var(--sidebar-resize-indicator-width) * -1); + right: unset; +} +.js .sidebar .sidebar-resize-handle { + cursor: col-resize; + width: calc(var(--sidebar-resize-indicator-width) - var(--sidebar-resize-indicator-space)); +} +/* sidebar-hidden */ +#sidebar-toggle-anchor:not(:checked) ~ .sidebar { + transform: translateX(calc(0px - var(--sidebar-width) - var(--sidebar-resize-indicator-width))); + z-index: -1; +} +[dir=rtl] #sidebar-toggle-anchor:not(:checked) ~ .sidebar { + transform: translateX(calc(var(--sidebar-width) + var(--sidebar-resize-indicator-width))); +} +.sidebar::-webkit-scrollbar { + background: var(--sidebar-bg); +} +.sidebar::-webkit-scrollbar-thumb { + background: var(--scrollbar); +} + +/* sidebar-visible */ +#sidebar-toggle-anchor:checked ~ .page-wrapper { + transform: translateX(calc(var(--sidebar-width) + var(--sidebar-resize-indicator-width))); +} +[dir=rtl] #sidebar-toggle-anchor:checked ~ .page-wrapper { + transform: translateX(calc(0px - var(--sidebar-width) - var(--sidebar-resize-indicator-width))); +} +@media only screen and (min-width: 620px) { + #sidebar-toggle-anchor:checked ~ .page-wrapper { + transform: none; + margin-inline-start: calc(var(--sidebar-width) + var(--sidebar-resize-indicator-width)); + } + [dir=rtl] #sidebar-toggle-anchor:checked ~ .page-wrapper { + transform: none; + } +} + +.chapter { + list-style: none outside none; + padding-inline-start: 0; + line-height: 2.2em; +} + +.chapter ol { + width: 100%; +} + +.chapter li { + display: flex; + color: var(--sidebar-non-existant); +} +.chapter li a { + display: block; + padding: 0; + text-decoration: none; + color: var(--sidebar-fg); +} + +.chapter li a:hover { + color: var(--sidebar-active); +} + +.chapter li a.active { + color: var(--sidebar-active); +} + +.chapter li > a.toggle { + cursor: pointer; + display: block; + margin-inline-start: auto; + padding: 0 10px; + user-select: none; + opacity: 0.68; +} + +.chapter li > a.toggle div { + transition: transform 0.5s; +} + +/* collapse the section */ +.chapter li:not(.expanded) + li > ol { + display: none; +} + +.chapter li.chapter-item { + line-height: 1.5em; + margin-block-start: 0.6em; +} + +.chapter li.expanded > a.toggle div { + transform: rotate(90deg); +} + +.spacer { + width: 100%; + height: 3px; + margin: 5px 0px; +} +.chapter .spacer { + background-color: var(--sidebar-spacer); +} + +@media (-moz-touch-enabled: 1), (pointer: coarse) { + .chapter li a { padding: 5px 0; } + .spacer { margin: 10px 0; } +} + +.section { + list-style: none outside none; + padding-inline-start: 20px; + line-height: 1.9em; +} + +/* Theme Menu Popup */ + +.theme-popup { + position: absolute; + left: 10px; + top: var(--menu-bar-height); + z-index: 1000; + border-radius: 4px; + font-size: 0.7em; + color: var(--fg); + background: var(--theme-popup-bg); + border: 1px solid var(--theme-popup-border); + margin: 0; + padding: 0; + list-style: none; + display: none; + /* Don't let the children's background extend past the rounded corners. */ + overflow: hidden; +} +[dir=rtl] .theme-popup { left: unset; right: 10px; } +.theme-popup .default { + color: var(--icons); +} +.theme-popup .theme { + width: 100%; + border: 0; + margin: 0; + padding: 2px 20px; + line-height: 25px; + white-space: nowrap; + text-align: start; + cursor: pointer; + color: inherit; + background: inherit; + font-size: inherit; +} +.theme-popup .theme:hover { + background-color: var(--theme-hover); +} + +.theme-selected::before { + display: inline-block; + content: "✓"; + margin-inline-start: -14px; + width: 14px; +} diff --git a/learn/acton-by-example/css/general.css b/learn/acton-by-example/css/general.css new file mode 100644 index 0000000..0862b51 --- /dev/null +++ b/learn/acton-by-example/css/general.css @@ -0,0 +1,242 @@ +/* Base styles and content styles */ + +:root { + /* Browser default font-size is 16px, this way 1 rem = 10px */ + font-size: 62.5%; + color-scheme: var(--color-scheme); +} + +html { + font-family: "Open Sans", sans-serif; + color: var(--fg); + background-color: var(--bg); + text-size-adjust: none; + -webkit-text-size-adjust: none; +} + +body { + margin: 0; + font-size: 1.6rem; + overflow-x: hidden; +} + +code { + font-family: var(--mono-font) !important; + font-size: var(--code-font-size); + direction: ltr !important; +} + +/* make long words/inline code not x overflow */ +main { + overflow-wrap: break-word; +} + +/* make wide tables scroll if they overflow */ +.table-wrapper { + overflow-x: auto; +} + +/* Don't change font size in headers. */ +h1 code, h2 code, h3 code, h4 code, h5 code, h6 code { + font-size: unset; +} + +.left { float: left; } +.right { float: right; } +.boring { opacity: 0.6; } +.hide-boring .boring { display: none; } +.hidden { display: none !important; } + +h2, h3 { margin-block-start: 2.5em; } +h4, h5 { margin-block-start: 2em; } + +.header + .header h3, +.header + .header h4, +.header + .header h5 { + margin-block-start: 1em; +} + +h1:target::before, +h2:target::before, +h3:target::before, +h4:target::before, +h5:target::before, +h6:target::before { + display: inline-block; + content: "»"; + margin-inline-start: -30px; + width: 30px; +} + +/* This is broken on Safari as of version 14, but is fixed + in Safari Technology Preview 117 which I think will be Safari 14.2. + https://bugs.webkit.org/show_bug.cgi?id=218076 +*/ +:target { + /* Safari does not support logical properties */ + scroll-margin-top: calc(var(--menu-bar-height) + 0.5em); +} + +.page { + outline: 0; + padding: 0 var(--page-padding); + margin-block-start: calc(0px - var(--menu-bar-height)); /* Compensate for the #menu-bar-hover-placeholder */ +} +.page-wrapper { + box-sizing: border-box; + background-color: var(--bg); +} +.no-js .page-wrapper, +.js:not(.sidebar-resizing) .page-wrapper { + transition: margin-left 0.3s ease, transform 0.3s ease; /* Animation: slide away */ +} +[dir=rtl] .js:not(.sidebar-resizing) .page-wrapper { + transition: margin-right 0.3s ease, transform 0.3s ease; /* Animation: slide away */ +} + +.content { + overflow-y: auto; + padding: 0 5px 50px 5px; +} +.content main { + margin-inline-start: auto; + margin-inline-end: auto; + max-width: var(--content-max-width); +} +.content p { line-height: 1.45em; } +.content ol { line-height: 1.45em; } +.content ul { line-height: 1.45em; } +.content a { text-decoration: none; } +.content a:hover { text-decoration: underline; } +.content img, .content video { max-width: 100%; } +.content .header:link, +.content .header:visited { + color: var(--fg); +} +.content .header:link, +.content .header:visited:hover { + text-decoration: none; +} + +table { + margin: 0 auto; + border-collapse: collapse; +} +table td { + padding: 3px 20px; + border: 1px var(--table-border-color) solid; +} +table thead { + background: var(--table-header-bg); +} +table thead td { + font-weight: 700; + border: none; +} +table thead th { + padding: 3px 20px; +} +table thead tr { + border: 1px var(--table-header-bg) solid; +} +/* Alternate background colors for rows */ +table tbody tr:nth-child(2n) { + background: var(--table-alternate-bg); +} + + +blockquote { + margin: 20px 0; + padding: 0 20px; + color: var(--fg); + background-color: var(--quote-bg); + border-block-start: .1em solid var(--quote-border); + border-block-end: .1em solid var(--quote-border); +} + +.warning { + margin: 20px; + padding: 0 20px; + border-inline-start: 2px solid var(--warning-border); +} + +.warning:before { + position: absolute; + width: 3rem; + height: 3rem; + margin-inline-start: calc(-1.5rem - 21px); + content: "ⓘ"; + text-align: center; + background-color: var(--bg); + color: var(--warning-border); + font-weight: bold; + font-size: 2rem; +} + +blockquote .warning:before { + background-color: var(--quote-bg); +} + +kbd { + background-color: var(--table-border-color); + border-radius: 4px; + border: solid 1px var(--theme-popup-border); + box-shadow: inset 0 -1px 0 var(--theme-hover); + display: inline-block; + font-size: var(--code-font-size); + font-family: var(--mono-font); + line-height: 10px; + padding: 4px 5px; + vertical-align: middle; +} + +sup { + /* Set the line-height for superscript and footnote references so that there + isn't an awkward space appearing above lines that contain the footnote. + + See https://github.com/rust-lang/mdBook/pull/2443#discussion_r1813773583 + for an explanation. + */ + line-height: 0; +} + +:not(.footnote-definition) + .footnote-definition, +.footnote-definition + :not(.footnote-definition) { + margin-block-start: 2em; +} +.footnote-definition { + font-size: 0.9em; + margin: 0.5em 0; +} +.footnote-definition p { + display: inline; +} + +.tooltiptext { + position: absolute; + visibility: hidden; + color: #fff; + background-color: #333; + transform: translateX(-50%); /* Center by moving tooltip 50% of its width left */ + left: -8px; /* Half of the width of the icon */ + top: -35px; + font-size: 0.8em; + text-align: center; + border-radius: 6px; + padding: 5px 8px; + margin: 5px; + z-index: 1000; +} +.tooltipped .tooltiptext { + visibility: visible; +} + +.chapter li.part-title { + color: var(--sidebar-fg); + margin: 5px 0px; + font-weight: bold; +} + +.result-no-output { + font-style: italic; +} diff --git a/learn/acton-by-example/css/print.css b/learn/acton-by-example/css/print.css new file mode 100644 index 0000000..80ec3a5 --- /dev/null +++ b/learn/acton-by-example/css/print.css @@ -0,0 +1,50 @@ + +#sidebar, +#menu-bar, +.nav-chapters, +.mobile-nav-chapters { + display: none; +} + +#page-wrapper.page-wrapper { + transform: none !important; + margin-inline-start: 0px; + overflow-y: initial; +} + +#content { + max-width: none; + margin: 0; + padding: 0; +} + +.page { + overflow-y: initial; +} + +code { + direction: ltr !important; +} + +pre > .buttons { + z-index: 2; +} + +a, a:visited, a:active, a:hover { + color: #4183c4; + text-decoration: none; +} + +h1, h2, h3, h4, h5, h6 { + page-break-inside: avoid; + page-break-after: avoid; +} + +pre, code { + page-break-inside: avoid; + white-space: pre-wrap; +} + +.fa { + display: none !important; +} diff --git a/learn/acton-by-example/css/variables.css b/learn/acton-by-example/css/variables.css new file mode 100644 index 0000000..12d1db7 --- /dev/null +++ b/learn/acton-by-example/css/variables.css @@ -0,0 +1,309 @@ + +/* Globals */ + +:root { + --sidebar-width: 300px; + --sidebar-resize-indicator-width: 8px; + --sidebar-resize-indicator-space: 2px; + --page-padding: 15px; + --content-max-width: 750px; + --menu-bar-height: 50px; + --mono-font: "Source Code Pro", Consolas, "Ubuntu Mono", Menlo, "DejaVu Sans Mono", monospace, monospace; + --code-font-size: 0.875em /* please adjust the ace font size accordingly in editor.js */ +} + +/* Themes */ + +.ayu { + --bg: hsl(210, 25%, 8%); + --fg: #c5c5c5; + + --sidebar-bg: #14191f; + --sidebar-fg: #c8c9db; + --sidebar-non-existant: #5c6773; + --sidebar-active: #ffb454; + --sidebar-spacer: #2d334f; + + --scrollbar: var(--sidebar-fg); + + --icons: #737480; + --icons-hover: #b7b9cc; + + --links: #0096cf; + + --inline-code-color: #ffb454; + + --theme-popup-bg: #14191f; + --theme-popup-border: #5c6773; + --theme-hover: #191f26; + + --quote-bg: hsl(226, 15%, 17%); + --quote-border: hsl(226, 15%, 22%); + + --warning-border: #ff8e00; + + --table-border-color: hsl(210, 25%, 13%); + --table-header-bg: hsl(210, 25%, 28%); + --table-alternate-bg: hsl(210, 25%, 11%); + + --searchbar-border-color: #848484; + --searchbar-bg: #424242; + --searchbar-fg: #fff; + --searchbar-shadow-color: #d4c89f; + --searchresults-header-fg: #666; + --searchresults-border-color: #888; + --searchresults-li-bg: #252932; + --search-mark-bg: #e3b171; + + --color-scheme: dark; + + /* Same as `--icons` */ + --copy-button-filter: invert(45%) sepia(6%) saturate(621%) hue-rotate(198deg) brightness(99%) contrast(85%); + /* Same as `--sidebar-active` */ + --copy-button-filter-hover: invert(68%) sepia(55%) saturate(531%) hue-rotate(341deg) brightness(104%) contrast(101%); +} + +.coal { + --bg: hsl(200, 7%, 8%); + --fg: #98a3ad; + + --sidebar-bg: #292c2f; + --sidebar-fg: #a1adb8; + --sidebar-non-existant: #505254; + --sidebar-active: #3473ad; + --sidebar-spacer: #393939; + + --scrollbar: var(--sidebar-fg); + + --icons: #43484d; + --icons-hover: #b3c0cc; + + --links: #2b79a2; + + --inline-code-color: #c5c8c6; + + --theme-popup-bg: #141617; + --theme-popup-border: #43484d; + --theme-hover: #1f2124; + + --quote-bg: hsl(234, 21%, 18%); + --quote-border: hsl(234, 21%, 23%); + + --warning-border: #ff8e00; + + --table-border-color: hsl(200, 7%, 13%); + --table-header-bg: hsl(200, 7%, 28%); + --table-alternate-bg: hsl(200, 7%, 11%); + + --searchbar-border-color: #aaa; + --searchbar-bg: #b7b7b7; + --searchbar-fg: #000; + --searchbar-shadow-color: #aaa; + --searchresults-header-fg: #666; + --searchresults-border-color: #98a3ad; + --searchresults-li-bg: #2b2b2f; + --search-mark-bg: #355c7d; + + --color-scheme: dark; + + /* Same as `--icons` */ + --copy-button-filter: invert(26%) sepia(8%) saturate(575%) hue-rotate(169deg) brightness(87%) contrast(82%); + /* Same as `--sidebar-active` */ + --copy-button-filter-hover: invert(36%) sepia(70%) saturate(503%) hue-rotate(167deg) brightness(98%) contrast(89%); +} + +.light, html:not(.js) { + --bg: hsl(0, 0%, 100%); + --fg: hsl(0, 0%, 0%); + + --sidebar-bg: #fafafa; + --sidebar-fg: hsl(0, 0%, 0%); + --sidebar-non-existant: #aaaaaa; + --sidebar-active: #1f1fff; + --sidebar-spacer: #f4f4f4; + + --scrollbar: #8F8F8F; + + --icons: #747474; + --icons-hover: #000000; + + --links: #20609f; + + --inline-code-color: #301900; + + --theme-popup-bg: #fafafa; + --theme-popup-border: #cccccc; + --theme-hover: #e6e6e6; + + --quote-bg: hsl(197, 37%, 96%); + --quote-border: hsl(197, 37%, 91%); + + --warning-border: #ff8e00; + + --table-border-color: hsl(0, 0%, 95%); + --table-header-bg: hsl(0, 0%, 80%); + --table-alternate-bg: hsl(0, 0%, 97%); + + --searchbar-border-color: #aaa; + --searchbar-bg: #fafafa; + --searchbar-fg: #000; + --searchbar-shadow-color: #aaa; + --searchresults-header-fg: #666; + --searchresults-border-color: #888; + --searchresults-li-bg: #e4f2fe; + --search-mark-bg: #a2cff5; + + --color-scheme: light; + + /* Same as `--icons` */ + --copy-button-filter: invert(45.49%); + /* Same as `--sidebar-active` */ + --copy-button-filter-hover: invert(14%) sepia(93%) saturate(4250%) hue-rotate(243deg) brightness(99%) contrast(130%); +} + +.navy { + --bg: hsl(226, 23%, 11%); + --fg: #bcbdd0; + + --sidebar-bg: #282d3f; + --sidebar-fg: #c8c9db; + --sidebar-non-existant: #505274; + --sidebar-active: #2b79a2; + --sidebar-spacer: #2d334f; + + --scrollbar: var(--sidebar-fg); + + --icons: #737480; + --icons-hover: #b7b9cc; + + --links: #2b79a2; + + --inline-code-color: #c5c8c6; + + --theme-popup-bg: #161923; + --theme-popup-border: #737480; + --theme-hover: #282e40; + + --quote-bg: hsl(226, 15%, 17%); + --quote-border: hsl(226, 15%, 22%); + + --warning-border: #ff8e00; + + --table-border-color: hsl(226, 23%, 16%); + --table-header-bg: hsl(226, 23%, 31%); + --table-alternate-bg: hsl(226, 23%, 14%); + + --searchbar-border-color: #aaa; + --searchbar-bg: #aeaec6; + --searchbar-fg: #000; + --searchbar-shadow-color: #aaa; + --searchresults-header-fg: #5f5f71; + --searchresults-border-color: #5c5c68; + --searchresults-li-bg: #242430; + --search-mark-bg: #a2cff5; + + --color-scheme: dark; + + /* Same as `--icons` */ + --copy-button-filter: invert(51%) sepia(10%) saturate(393%) hue-rotate(198deg) brightness(86%) contrast(87%); + /* Same as `--sidebar-active` */ + --copy-button-filter-hover: invert(46%) sepia(20%) saturate(1537%) hue-rotate(156deg) brightness(85%) contrast(90%); +} + +.rust { + --bg: hsl(60, 9%, 87%); + --fg: #262625; + + --sidebar-bg: #3b2e2a; + --sidebar-fg: #c8c9db; + --sidebar-non-existant: #505254; + --sidebar-active: #e69f67; + --sidebar-spacer: #45373a; + + --scrollbar: var(--sidebar-fg); + + --icons: #737480; + --icons-hover: #262625; + + --links: #2b79a2; + + --inline-code-color: #6e6b5e; + + --theme-popup-bg: #e1e1db; + --theme-popup-border: #b38f6b; + --theme-hover: #99908a; + + --quote-bg: hsl(60, 5%, 75%); + --quote-border: hsl(60, 5%, 70%); + + --warning-border: #ff8e00; + + --table-border-color: hsl(60, 9%, 82%); + --table-header-bg: #b3a497; + --table-alternate-bg: hsl(60, 9%, 84%); + + --searchbar-border-color: #aaa; + --searchbar-bg: #fafafa; + --searchbar-fg: #000; + --searchbar-shadow-color: #aaa; + --searchresults-header-fg: #666; + --searchresults-border-color: #888; + --searchresults-li-bg: #dec2a2; + --search-mark-bg: #e69f67; + + /* Same as `--icons` */ + --copy-button-filter: invert(51%) sepia(10%) saturate(393%) hue-rotate(198deg) brightness(86%) contrast(87%); + /* Same as `--sidebar-active` */ + --copy-button-filter-hover: invert(77%) sepia(16%) saturate(1798%) hue-rotate(328deg) brightness(98%) contrast(83%); +} + +@media (prefers-color-scheme: dark) { + html:not(.js) { + --bg: hsl(200, 7%, 8%); + --fg: #98a3ad; + + --sidebar-bg: #292c2f; + --sidebar-fg: #a1adb8; + --sidebar-non-existant: #505254; + --sidebar-active: #3473ad; + --sidebar-spacer: #393939; + + --scrollbar: var(--sidebar-fg); + + --icons: #43484d; + --icons-hover: #b3c0cc; + + --links: #2b79a2; + + --inline-code-color: #c5c8c6; + + --theme-popup-bg: #141617; + --theme-popup-border: #43484d; + --theme-hover: #1f2124; + + --quote-bg: hsl(234, 21%, 18%); + --quote-border: hsl(234, 21%, 23%); + + --warning-border: #ff8e00; + + --table-border-color: hsl(200, 7%, 13%); + --table-header-bg: hsl(200, 7%, 28%); + --table-alternate-bg: hsl(200, 7%, 11%); + + --searchbar-border-color: #aaa; + --searchbar-bg: #b7b7b7; + --searchbar-fg: #000; + --searchbar-shadow-color: #aaa; + --searchresults-header-fg: #666; + --searchresults-border-color: #98a3ad; + --searchresults-li-bg: #2b2b2f; + --search-mark-bg: #355c7d; + + --color-scheme: dark; + + /* Same as `--icons` */ + --copy-button-filter: invert(26%) sepia(8%) saturate(575%) hue-rotate(169deg) brightness(87%) contrast(82%); + /* Same as `--sidebar-active` */ + --copy-button-filter-hover: invert(36%) sepia(70%) saturate(503%) hue-rotate(167deg) brightness(98%) contrast(89%); + } +} diff --git a/learn/acton-by-example/elasticlunr.min.js b/learn/acton-by-example/elasticlunr.min.js new file mode 100644 index 0000000..94b20dd --- /dev/null +++ b/learn/acton-by-example/elasticlunr.min.js @@ -0,0 +1,10 @@ +/** + * elasticlunr - http://weixsong.github.io + * Lightweight full-text search engine in Javascript for browser search and offline search. - 0.9.5 + * + * Copyright (C) 2017 Oliver Nightingale + * Copyright (C) 2017 Wei Song + * MIT Licensed + * @license + */ +!function(){function e(e){if(null===e||"object"!=typeof e)return e;var t=e.constructor();for(var n in e)e.hasOwnProperty(n)&&(t[n]=e[n]);return t}var t=function(e){var n=new t.Index;return n.pipeline.add(t.trimmer,t.stopWordFilter,t.stemmer),e&&e.call(n,n),n};t.version="0.9.5",lunr=t,t.utils={},t.utils.warn=function(e){return function(t){e.console&&console.warn&&console.warn(t)}}(this),t.utils.toString=function(e){return void 0===e||null===e?"":e.toString()},t.EventEmitter=function(){this.events={}},t.EventEmitter.prototype.addListener=function(){var e=Array.prototype.slice.call(arguments),t=e.pop(),n=e;if("function"!=typeof t)throw new TypeError("last argument must be a function");n.forEach(function(e){this.hasHandler(e)||(this.events[e]=[]),this.events[e].push(t)},this)},t.EventEmitter.prototype.removeListener=function(e,t){if(this.hasHandler(e)){var n=this.events[e].indexOf(t);-1!==n&&(this.events[e].splice(n,1),0==this.events[e].length&&delete this.events[e])}},t.EventEmitter.prototype.emit=function(e){if(this.hasHandler(e)){var t=Array.prototype.slice.call(arguments,1);this.events[e].forEach(function(e){e.apply(void 0,t)},this)}},t.EventEmitter.prototype.hasHandler=function(e){return e in this.events},t.tokenizer=function(e){if(!arguments.length||null===e||void 0===e)return[];if(Array.isArray(e)){var n=e.filter(function(e){return null===e||void 0===e?!1:!0});n=n.map(function(e){return t.utils.toString(e).toLowerCase()});var i=[];return n.forEach(function(e){var n=e.split(t.tokenizer.seperator);i=i.concat(n)},this),i}return e.toString().trim().toLowerCase().split(t.tokenizer.seperator)},t.tokenizer.defaultSeperator=/[\s\-]+/,t.tokenizer.seperator=t.tokenizer.defaultSeperator,t.tokenizer.setSeperator=function(e){null!==e&&void 0!==e&&"object"==typeof e&&(t.tokenizer.seperator=e)},t.tokenizer.resetSeperator=function(){t.tokenizer.seperator=t.tokenizer.defaultSeperator},t.tokenizer.getSeperator=function(){return t.tokenizer.seperator},t.Pipeline=function(){this._queue=[]},t.Pipeline.registeredFunctions={},t.Pipeline.registerFunction=function(e,n){n in t.Pipeline.registeredFunctions&&t.utils.warn("Overwriting existing registered function: "+n),e.label=n,t.Pipeline.registeredFunctions[n]=e},t.Pipeline.getRegisteredFunction=function(e){return e in t.Pipeline.registeredFunctions!=!0?null:t.Pipeline.registeredFunctions[e]},t.Pipeline.warnIfFunctionNotRegistered=function(e){var n=e.label&&e.label in this.registeredFunctions;n||t.utils.warn("Function is not registered with pipeline. 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u=r[s];u=Math.sqrt(u),this.index[n].addToken(s,{ref:i,tf:u})}},this),n&&this.eventEmitter.emit("add",e,this)}},t.Index.prototype.removeDocByRef=function(e){if(e&&this.documentStore.isDocStored()!==!1&&this.documentStore.hasDoc(e)){var t=this.documentStore.getDoc(e);this.removeDoc(t,!1)}},t.Index.prototype.removeDoc=function(e,n){if(e){var n=void 0===n?!0:n,i=e[this._ref];this.documentStore.hasDoc(i)&&(this.documentStore.removeDoc(i),this._fields.forEach(function(n){var o=this.pipeline.run(t.tokenizer(e[n]));o.forEach(function(e){this.index[n].removeToken(e,i)},this)},this),n&&this.eventEmitter.emit("remove",e,this))}},t.Index.prototype.updateDoc=function(e,t){var t=void 0===t?!0:t;this.removeDocByRef(e[this._ref],!1),this.addDoc(e,!1),t&&this.eventEmitter.emit("update",e,this)},t.Index.prototype.idf=function(e,t){var n="@"+t+"/"+e;if(Object.prototype.hasOwnProperty.call(this._idfCache,n))return this._idfCache[n];var i=this.index[t].getDocFreq(e),o=1+Math.log(this.documentStore.length/(i+1));return this._idfCache[n]=o,o},t.Index.prototype.getFields=function(){return this._fields.slice()},t.Index.prototype.search=function(e,n){if(!e)return[];e="string"==typeof e?{any:e}:JSON.parse(JSON.stringify(e));var i=null;null!=n&&(i=JSON.stringify(n));for(var o=new t.Configuration(i,this.getFields()).get(),r={},s=Object.keys(e),u=0;u0&&t.push(e);for(var i in n)"docs"!==i&&"df"!==i&&this.expandToken(e+i,t,n[i]);return t},t.InvertedIndex.prototype.toJSON=function(){return{root:this.root}},t.Configuration=function(e,n){var e=e||"";if(void 0==n||null==n)throw new Error("fields should not be null");this.config={};var i;try{i=JSON.parse(e),this.buildUserConfig(i,n)}catch(o){t.utils.warn("user configuration parse failed, will use default 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this.config},t.Configuration.prototype.reset=function(){this.config={}},lunr.SortedSet=function(){this.length=0,this.elements=[]},lunr.SortedSet.load=function(e){var t=new this;return t.elements=e,t.length=e.length,t},lunr.SortedSet.prototype.add=function(){var e,t;for(e=0;e1;){if(r===e)return o;e>r&&(t=o),r>e&&(n=o),i=n-t,o=t+Math.floor(i/2),r=this.elements[o]}return r===e?o:-1},lunr.SortedSet.prototype.locationFor=function(e){for(var t=0,n=this.elements.length,i=n-t,o=t+Math.floor(i/2),r=this.elements[o];i>1;)e>r&&(t=o),r>e&&(n=o),i=n-t,o=t+Math.floor(i/2),r=this.elements[o];return r>e?o:e>r?o+1:void 0},lunr.SortedSet.prototype.intersect=function(e){for(var t=new lunr.SortedSet,n=0,i=0,o=this.length,r=e.length,s=this.elements,u=e.elements;;){if(n>o-1||i>r-1)break;s[n]!==u[i]?s[n]u[i]&&i++:(t.add(s[n]),n++,i++)}return t},lunr.SortedSet.prototype.clone=function(){var e=new lunr.SortedSet;return e.elements=this.toArray(),e.length=e.elements.length,e},lunr.SortedSet.prototype.union=function(e){var t,n,i;this.length>=e.length?(t=this,n=e):(t=e,n=this),i=t.clone();for(var o=0,r=n.toArray();o + + + + + Environment + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ + + + + + + + + + + + + +
+ +
+ + + + + + + + +
+
+

Environment

+

The environment of an Acton application is the outside world. Any useful application typically needs to interact with the environment in some way, like reading arguments or taking input from stdin and printing output.

+ +
+ + +
+
+ + + +
+ + + + + + + + + + + + + + + + + + + +
+ + diff --git a/learn/acton-by-example/environment/interactive_stdin.html b/learn/acton-by-example/environment/interactive_stdin.html new file mode 100644 index 0000000..102f1cd --- /dev/null +++ b/learn/acton-by-example/environment/interactive_stdin.html @@ -0,0 +1,231 @@ + + + + + + Interactive stdin input + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ + + + + + + + + + + + + +
+ +
+ + + + + + + + +
+
+

Interactive stdin

+

For interactive programs, like a text editor, input is not fed into the program +line by line, rather the program can react on individual key strokes.

+

The default stdin mode is the canonical mode, which implies line buffering and +that there are typically line editing capabilities offered that are implemented +external to the Acton program. By setting stdin in non-canonical mode we can +instead get the raw key strokes directly fed to us.

+
actor main(env):
+    def interact(input):
+        print("Got some input:", input)
+
+    # Set non-canonical mode, so we get each key stroke directly
+    env.set_stdin(canonical=False)
+    # Turn off terminal echo
+    env.set_stdin(echo=False)
+    env.stdin_install(interact)
+
+

We can also disable the echo mode with the echo option.

+

The Acton run time system will copy the stdin terminal settings on startup and +restore them on exit, so you do not need to manually restore terminal echo for +example.

+ +
+ + +
+
+ + + +
+ + + + + + + + + + + + + + + + + + + +
+ + diff --git a/learn/acton-by-example/environment/stdin.html b/learn/acton-by-example/environment/stdin.html new file mode 100644 index 0000000..dc75aae --- /dev/null +++ b/learn/acton-by-example/environment/stdin.html @@ -0,0 +1,239 @@ + + + + + + Reading stdin input + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ + + + + + + + + + + + + +
+ +
+ + + + + + + + +
+
+

Reading stdin input

+

Read input from stdin by installing a handler for stdin data. The returned data is str

+
actor main(env):
+    def interact(input):
+        print("Got some input:", input)
+        
+    env.stdin_install(interact)
+
+

It is possible to specify the encoding and an on_error() callback which is invoked if there are problem with decoding the data. When encoding is not specified (default None), an attempt is made to discover the encoding by reading the LANG environment variable. If no encoding is discovered, the default is to use utf-8.

+
actor main(env):
+    def interact(input):
+        print("Got some input:", input)
+        
+    def on_stdin_error(err, data):
+        print("Some error with decoding the input data:", err)
+        print("Raw bytes data:", data)
+        
+    env.stdin_install(on_stdin=interact, encoding="utf-8", on_error=on_stdin_error)
+
+

You can read the raw data in bytes form by installing a bytes handler instead:

+
actor main(env):
+    def interact(bytes_input):
+        # Note how the input might contain parts (some bytes) of a multi-byte
+        # Unicode character in which case decoding will fail
+        print("Got some input:", bytes_input.decode())
+        
+    env.stdin_install(on_stdin_bytes=interact)
+
+

This allows reading binary data and more explicit control over how to decode the data.

+ +
+ + +
+
+ + + +
+ + + + + + + + + + + + + + + + + + + +
+ + diff --git a/learn/acton-by-example/environment/variables.html b/learn/acton-by-example/environment/variables.html new file mode 100644 index 0000000..cbabd19 --- /dev/null +++ b/learn/acton-by-example/environment/variables.html @@ -0,0 +1,228 @@ + + + + + + Environment variables + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ + + + + + + + + + + + + +
+ +
+ + + + + + + + +
+
+

Environment variables

+

It is possible to read, set and unset environment variables. The standard functions env.getenv, env.setenv and env.unsetenv all assume str input and output, which is a convenience based on the assumption that all data is encoded using UTF-8. POSIX systems really use binary encoding for both environment names and variables. To access the environment as bytes and handle decoding explicitly, use env.getenvb, env.setenvb and env.unsetenvb.

+

Source:

+
actor main(env):
+    env_user = env.getenv("USER")
+    if env_user is not None:
+        print("User:", env_user)
+    env.setenv("FOO", "bar")
+    env.unsetenv("LANG")
+    foo_env = env.getenv("FOO")
+    if foo_env is not None:
+        print("FOO:", foo_env)
+    env.exit(0)
+
+

Output:

+
User: myuser
+FOO: bar
+
+ +
+ + +
+
+ + + +
+ + + + + + + + + + + + + + + + + + + +
+ + diff --git a/learn/acton-by-example/ext/integrating_c_library.html b/learn/acton-by-example/ext/integrating_c_library.html new file mode 100644 index 0000000..9b8a76d --- /dev/null +++ b/learn/acton-by-example/ext/integrating_c_library.html @@ -0,0 +1,470 @@ + + + + + + Integrating a C library (zlib) + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ + + + + + + + + + + + + +
+ +
+ + + + + + + + +
+
+

Integrating a C library (zlib)

+

This is a guide to integrating C libraries in Acton code. We will use the zlib compression library, written in C, to build an Acton module that supports zlib compression and decompression.

+

We will only focus on the inflate and deflate functions in zlib. They are pure functions (meaning they only take some input and return some output, they do not have any side effects like writing to some shared state), that makes them easier to integrate than anything that does I/O. While zlib does expose functions to interact with files, we don't want to reimplement file related functionality since we already have this supported by the Acton stdlib.

+

Create new project

+

Let's start by making a new Acton project, let's call it acton-zlib. New projects are created with an example "Hello world" app. Let's remove it and start from scratch.

+
acton new acton-zlib
+cd acton-zlib
+rm src/*
+
+

Acton's low level build system - the Zig build system

+

The Acton compiler parses .act source code, runs through all its compilation passes with type checking, CPS conversion, lambda lifting etc and finally produces C code. Internally, Acton then uses the Zig build system to compile the generated C code to libraries and finally binary executables.

+

To add a C library dependency, it first needs to be buildable using the Zig build system, which means that it needs a build.zig file, the config file for the Zig build, somewhat similar to the CMakeLists.txt of CMake. Some projects have already adopted a build.zig in the upstream repo, like PCRE2 and the Boehm-Demers-Weiser GC (both of which are used by Acton). In some cases, there are forks of projects with build.zig added. Otherwise you will need to write one for yourself, which is usually simpler than it might first seem.

+

Add the zlib C library as a Zig dependency

+

In the case of zlib, there is already a repo available with a build.zig for zlib. Navigate to the Tags page, find 1.3.1 and the link to the source files, i.e. https://github.com/allyourcodebase/zlib/archive/refs/tags/1.3.1.tar.gz.

+

Add it to our acton-zlib project:

+
acton zig-pkg add https://github.com/allyourcodebase/zlib/archive/refs/tags/1.3.1.tar.gz zlib --artifact z
+
+

Note the --artifact z which is provided to instruct which library to link with. Headers from the zlib library, like zlib.h, will now become visible to C files in our project and the z library will be linked in with our executables. The easiest way to discover what the artifacts are called is by inspecting the build.zig file of the package. This particular zlib build.zig starts like this:

+
const std = @import("std");
+
+pub fn build(b: *std.Build) void {
+    const upstream = b.dependency("zlib", .{});
+    const lib = b.addStaticLibrary(.{
+        .name = "z",
+        .target = b.standardTargetOptions(.{}),
+        .optimize = b.standardOptimizeOption(.{}),
+    });
+    lib.linkLibC();
+    lib.addCSourceFiles(.{
+        .root = upstream.path(""),
+        .files = &.{
+            "adler32.c",
+            "crc32.c",
+...
+
+

It is the .name argument to addStaticLibrary that tells us the name of the artifact. Zig packages might expose multiple such artifacts, as is the case for mbedtls.

+

acton zig-pkg add will fetch the package from the provided URL and save the hash sum to build.act.json, resulting in:

+
{
+    "dependencies": {},
+    "zig_dependencies": {
+        "zlib": {
+            "url": "https://github.com/allyourcodebase/zlib/archive/refs/tags/1.3.1.tar.gz",
+            "hash": "122034ab2a12adf8016ffa76e48b4be3245ffd305193edba4d83058adbcfa749c107",
+            "artifacts": [
+                "z"
+            ]
+        }
+    }
+}
+
+

Create zlib.act Acton module

+

Next up we need to create the Acton zlib module. Open src/zlib.act and add a compress and decompress function:

+
pure def compress(data: bytes) -> bytes:
+    NotImplemented
+
+pure def decompress(data: bytes) -> bytes:
+    NotImplemented
+
+

The NotImplemented statement tells the compiler that the implementation is not written in Acton but rather external. When there is a .ext.c file, the compiler expects it to contain the implementations for the NotImplemented functions. Also note the explicit types. Normally the Acton compiler can infer types, but since there is no Acton code here, only C code, there is nothing to infer from.

+

Now create src/zlib.ext.c which is where we will do the actual implementation of these functions. We need to add a __ext_init__ function, which runs on module load by the Acton RTS, which must always exist. There is nothing to do in particular for zlib so let's just create an empty function, like so:

+
void zlibQ___ext_init__() {}
+
+

Next, we need to fill in the C functions that map to the Acton functions compress and decompress. By invoking acton build we can get the compiler to generate a skeleton for these. We will also get a large error message, since there is no actual implementation:

+
user@host$ acton build
+... some large error message
+
+

Ignore the error and instead check the content of out/types/zlib.c and we will find the C functions we need, commented out:

+
#include "rts/common.h"
+#include "out/types/zlib.h"
+#include "src/zlib.ext.c"
+B_bytes zlibQ_compress (B_bytes data);
+/*
+B_bytes zlibQ_compress (B_bytes data) {
+    // NotImplemented
+}
+*/
+B_bytes zlibQ_decompress (B_bytes data);
+/*
+B_bytes zlibQ_decompress (B_bytes data) {
+    // NotImplemented
+}
+*/
+int zlibQ_done$ = 0;
+void zlibQ___init__ () {
+    if (zlibQ_done$) return;
+    zlibQ_done$ = 1;
+    zlibQ___ext_init__ ();
+}
+
+

Copy the commented-out skeleton into our own src/zlib.ext.c. Just in order to get something that compiles, let's just quickly let the functions return the input data. Since both input and output are bytes, this should now compile (and work at run time).

+
B_bytes zlibQ_compress (B_bytes data) {
+    return data;
+}
+B_bytes zlibQ_decompress (B_bytes data) {
+    return data;
+}
+
+
user@host:~/acton-zlib$ acton build
+Building project in /Users/user/acton-zlib
+  Compiling zlib.act for release
+   Finished compilation in   0.005 s
+  Compiling test_zlib.act for release
+   Finished compilation in   0.019 s
+  Final compilation step
+user@host:~/acton-zlib$
+
+

Add a test module

+

Before we implement the body of the compress and decompress functions, we can write a small test module which will tell us when we've succeeded. We use some pre-known test data (which we could get from another language implementation):

+
import testing
+import zlib
+
+def _test_roundtrip():
+    for x in range(100):
+        i = "hello".encode()
+        c = zlib.compress(i)
+        d = zlib.decompress(c)
+        testing.assertEqual(i, d)
+
+def _test_compress():
+    for x in range(100):
+        i = "hello".encode()
+        c = zlib.compress(i)
+        testing.assertEqual(c, b'x\x9c\xcbH\xcd\xc9\xc9\x07')
+
+def _test_decompress():
+    for x in range(1000):
+        c = b'x\x9c\xcbH\xcd\xc9\xc9\x07'
+        d = zlib.decompress(c)
+        testing.assertEqual(d, b'hello')
+
+

Note how we run a few test iterations to get slightly better timing measurements for performance testing. Run the test with acton test:

+
user@host:~/acton-zlib$ acton test
+
+Tests - module test_zlib:
+  decompress:            FAIL:  195 runs in 50.728ms
+    testing.NotEqualError: Expected equal values but they are non-equal. A: b'x\x9c\xcbH\xcd\xc9\xc9\x07' B: b'hello'
+  compress:              FAIL:  197 runs in 50.886ms
+    testing.NotEqualError: Expected equal values but they are non-equal. A: b'hello' B: b'x\x9c\xcbH\xcd\xc9\xc9\x07'
+  roundtrip:             OK:  226 runs in 50.890ms
+
+2 out of 3 tests failed (26.354s)
+
+user@host:~/acton-zlib$ 
+
+

As expected, the roundtrip test goes through, since we just return the input data while the compress and decompress tests fail.

+

Implement the compress function

+

Now let's fill in the rest of the owl. Below is the body of the zlibQ_compress function. The bulk of this code is not particularly interesting to this guide as it has more to do with standard C usage of zlib, but a few things are worth noting.

+
B_bytes zlibQ_compress(B_bytes data) {
+    if (data->nbytes == 0) {
+        return data;
+    }
+
+    // Prepare the zlib stream
+    int ret;
+    z_stream stream;
+    memset(&stream, 0, sizeof(stream));
+    ret = deflateInit(&stream, Z_DEFAULT_COMPRESSION);
+    if (ret != Z_OK) {
+        $RAISE((B_BaseException)$NEW(B_ValueError, to$str("Unable to compress data, init error: %d", ret)));
+    }
+
+    // Set the input data
+    stream.avail_in = data->nbytes;
+    stream.next_in = (Bytef*)data->str;
+
+    // Allocate the output buffer using Acton's malloc
+    size_t output_size = deflateBound(&stream, data->nbytes);
+    Bytef* output_buffer = (Bytef*)acton_malloc_atomic(output_size);
+    stream.avail_out = output_size;
+    stream.next_out = output_buffer;
+
+    // Perform the deflate operation
+    ret = deflate(&stream, Z_FINISH);
+    if (ret != Z_STREAM_END) {
+        $RAISE((B_BaseException)$NEW(B_ValueError, $FORMAT("Unable to compress data, error: %d", ret)));
+    }
+
+    // Clean up
+    deflateEnd(&stream);
+
+    return actBytesFromCStringNoCopy(output_buffer);
+}
+
+

Memory management is always top of mind when writing C, as it the case here. We can allocate memory via the Acton GC-heap malloc or just plain malloc() (the non-GC heap, to be explicit). Since zlibQ_compress is pure, we have no state leaking out of the function other than via its return value. All return values must be allocated on the Acton GC heap, so we know we must use acton_malloc for any value that we return. Any other local variables within the function can use classic malloc, as long as we make sure to explicitly free it up. For class or actor methods, any allocation for class or actor attributes must be performed using the Acton GC malloc, since there is no destructor or similar where a free can be inserted, so using classic malloc would be bound to leak. Also note that in this particular case, we know that the returned bytes value itself is not going to contain any pointers, so by using acton_malloc_atomic we can get a chunk of memory that will not be internally scanned by the GC, which saves a bit of time and thus improves GC performance. If we allocate structs that do carry pointers, they must use the normal acton_malloc().

+

actBytesFromCStringNoCopy(output_buffer) takes the buffer (already allocated via acton_malloc_atomic()) and wraps it up as a boxed value of the type B_bytes that we return.

+

Also note how we convert Zlib errors to Acton exceptions where necessary.

+

Running the test, the compress test now passes while roundtrip has stopped working (since decompress is not implemented yet):

+
user@host:~/acton-zlib$ acton test
+Tests - module test_zlib:
+  decompress:            FAIL:  158 runs in 50.175ms
+    testing.NotEqualError: Expected equal values but they are non-equal. A: b'x\x9c\xcbH\xcd\xc9\xc9\x07' B: b'hello'
+  compress:              OK:  167 runs in 50.225ms
+  roundtrip:             FAIL:  147 runs in 50.266ms
+    testing.NotEqualError: Expected equal values but they are non-equal. A: b'hello' B: b'x\x9c\xcbH\xcd\xc9\xc9\x07'
+
+2 out of 3 tests failed (0.941s)
+
+user@host:~/acton-zlib$ 
+
+

Implement the decompress function

+

Much like the compress function, the decompress function mostly relates to how zlib itself and its interface works. We use the same wrappers and transform errors to exceptions.

+
B_bytes zlibQ_decompress(B_bytes data) {
+    if (data->nbytes == 0) {
+        return data;
+    }
+
+    // Prepare the zlib stream
+    int ret;
+    z_stream stream;
+    memset(&stream, 0, sizeof(stream));
+
+    ret = inflateInit(&stream);
+    if (ret != Z_OK) {
+        $RAISE((B_BaseException)$NEW(B_ValueError, $FORMAT("Unable to decompress data, init error: %d", ret)));
+    }
+
+    // Set the input data
+    stream.avail_in = data->nbytes;
+    stream.next_in = (Bytef*)data->str;
+
+    // Allocate the output buffer using Acton's malloc
+    size_t output_size = 2 * data->nbytes; // Initial output buffer size
+    Bytef* output_buffer = (Bytef*)acton_malloc_atomic(output_size);
+    memset(output_buffer, 0, output_size);
+    stream.avail_out = output_size;
+    stream.next_out = output_buffer;
+
+    // Perform the inflate operation, increasing the output buffer size if needed
+    do {
+        ret = inflate(&stream, Z_NO_FLUSH);
+        if (ret == Z_BUF_ERROR) {
+            // Increase the output buffer size and continue decompressing
+            size_t new_output_size = output_size * 2;
+            output_buffer = (Bytef*)acton_realloc(output_buffer, new_output_size);
+            stream.avail_out = new_output_size - stream.total_out;
+            stream.next_out = output_buffer + stream.total_out;
+        } else if (ret != Z_OK) {
+            $RAISE((B_BaseException)$NEW(B_ValueError, $FORMAT("Unable to decompress data, error: %d", ret)));
+        }
+    } while (ret == Z_BUF_ERROR);
+
+    // Clean up
+    inflateEnd(&stream);
+
+    return actBytesFromCStringNoCopy(output_buffer);
+}
+
+

Final test

+
user@host:~/acton-zlib$ acton test
+
+Tests - module test_zlib:
+  decompress:            OK:   42 runs in 51.065ms
+  compress:              OK:   25 runs in 50.032ms
+  roundtrip:             OK:   24 runs in 50.053ms
+
+All 3 tests passed (0.738s)
+
+user@host:~/acton-zlib$ 
+
+

And with that, we're done! A simple wrapper around zlib, which is also available on GitHub if you want to study it further.

+ +
+ + +
+
+ + + +
+ + + + + + + + + + + + + + + + + + + +
+ + diff --git a/learn/acton-by-example/favicon.png b/learn/acton-by-example/favicon.png new file mode 100644 index 0000000000000000000000000000000000000000..a5b1aa16c4dcb6c872cb5af799bfc9b5552c7b9e GIT binary patch literal 5679 zcmaKwcQhN&+sD<65fVyMrKCtvVz>54LX99&YDJBr_J}>&8nH)>5R@84MNz9ITCG*P zX0<44?^;#6_4>Wr#V&J8m1AkprJ&CCG60hiIs8wiCL z#DZiT`@6@!`1|?!W$KnZXnX^2+=d_hxD?}hboJ~h?Z3p^&%c2CYBPHWm3|C7?4S)S z<=8>rwHV}maohw}kN+bB?OodAZp_b^;z<(fft-=472pgWXh~>V9TV@+f@jN9eBDb8 z7XHu2>hath5j`z|b;Ad2K;UB)cLZ_o3=_`cn$3dBvrK8=_c@&)Co@h@Pv4py{4-VG zZ5jW&6>DrRtr<|%Fe?ncBXZ&-%N-M8DAk#!lh2}pj>hTyRLw-Y@j^l@;vBq_lsS75 z)qdTT8D@D}Dii_QlsRP&RSJqu0GI`03S)>yR&aVKQRp}j!xeZZtz;w73{iCK&bLCE z+>)g!H+&K+40SZ~GUg@L=NTM^3f#ws*h)fa+1^TLfkKX0cOC&h^&$#734jCMlkosy zmd-3tD>m+NOhmzi8_WaR-6=gM$YT}*bmNV`pA@5OxA3<=Q1`U?J!Hn_;zv{eIRg zOFf{KJb(ijx*?h43sdXmvg??24dL#E3BQSwKa7K16Vfe7C{X5}#}S=h395Gr8tI#4 zrrXi%UzXQ+xVq%dG=XgJJ;R{?RK?)mMzlW`d>wIS2I$CY#jkO8)qKV{zRyiyxA_TK zpQ2lmzVdp}WSg;LaU?Luyp_y8A4v1Y8KL-9=|}S1(8e%kW&{6^S&9Y3fBcboDg50- z`Qj6Q;g!Y|dsX7SLNWgRDu$7&lu2dOtHL?%0QHIW&DjDT7KgaL<8ddx_`;gAe(ws7 z-bYcVLmTf4KO~Ht8r;G~ib2Ktq~*M&J~r~gyFUF|ZM9V2>rcS^ptfS351 zr^~D87q>{pza=Os8TRei`It?ZT)3}ex4)PPl1_Fehm)dZIwaonoF|^0CiXot?0#U$ zd5Adv*yoKC^y4PFMxCOA8ulM`^RI8#3wBzVU{j!kLT|MECdCNN=aDDAG_rx=3hu6$ zi1)J%CH^R5KRB~a|6bd=WO0y&cZNbYs->zXoc}LP!BQ$^+m^Jzm!h)A`YihVcA;wi z9)s{xe;%b;ebpeVKBKl|>mpk5joFL|HXZ1lp&kaPeVQf5Uxs>C2@2177dFce>so`9xUBtGlx&g~%@+&~Zm z@e1S@Iyo>1YR`3y$<2*6aqWJ=_`%-{&?=mt1OC;1V`%O z&^8C?*X0=-A0g8~BgayHpBjPJ@y^*uIMl0q)cyV>`%Di24jwgadCc9rVl~j*gM{0T zA6q8Os&y!=+Ev&iHf)^A4kIzqR`#Iipif;;qX(qHz*h@6-1BOEG}}%)RqL(K`(wU( z#l|@c@~WaG&qonFH#Xmn)&X{HF^~K${Bvu7O%P{j@wSZ%`@#=Gh|SEJU2tFr+F2(T zcrL`|{;d7=CtrnsD!a=V4*u3FAu6u7vt-@Y{H*ryGs3Cc9o>ee1e~Jw37ZeVJZ4z9Zd6pnbZ!bP z%|#tEI7|PX`)tc=y8Z|1hx2t6>5t@BxO(N2%fGmGJnc@n8R|tJtE&99CWQ1pUr=7m z=ow1W8xJZMjpKK|FCE81i=Fy;W9lwx05p1+WRbNnY-#w;JUJsx{?}3MPQIJPwg8FC z$d0DFq^mT&;v-*W#(x z-c4x23zgd^)`AE}lH}(uS|;!)9oKu(VJvy5+iI=m4;#juwwYH`YjzcVBs$$xA10z{y@6Kl86p_m*8kBhNqam&f=36^8dj+ARQYpWvJvTX|g z6o*}_2y=Dr5qcHHpAjp@1eJ}kWJrV&674HNfzCflqP!Gqm`kE|ELr1UFHE)F`9|Ss zx2IBLY|M1uvna)hF~d3Y4C8=FTFAb_=$R*!c~eBm+a6pSE2tVx&hb#-g2Iss`rIP9_fcL1t-Z ze6D|FAb+TAsvDKg@}y{4addJZvYIdHzQ+YmAmLFHfwa~I)|0&tqQdDUC|||%0(39F zfrg&C3I-_NCGCKWw-j==dqor;ka|kgY1|V8>5>2cM1fF{-sOt5W z{Eh1on(hz1l~!@<9-@1gIz2oHJN>S_ZI)7f?TYFm^wG|E2GjS5!Z{C)$Sle>#18MQ z+_t%oPijKw)uHoTsN1XbG#jln9|uWn(rFrn_Y9VzSPR~7BfE`dQj5*MsiH_Wm%(IU zL%FUDj8?#}%!4pOzck@IR)0I2y=`d!Akki`Y{Rph{`Z<$Q9l5D`&wNj=2dK%*$L&54NIbgN=U^o3BtI_6evC!BD z?bbZ-D}OVqX8fpVwk1DYyRv0t@1{Af5eQLy5|}z(aIFfuA8}m&bDBj`;>jIw1FqaG z^KI)+KtMzFp~vf+&cac7Pye)I2EhJD{x8BevfmnOP;fIv^3W@0B>%Qqf4GR*Ih%BOR=&zaPoU8z6w_x9PvK;)>#KEj~a~X4Dv!a{ee` zV0)d>M46CLep<5_RqAb4Qhc(b@g11dkpj`sArRP;h5S3=yfoYm2#;J-7(-RiP#?O4 zbg%gIx9;@IzmAoe*-9Tp&Fr)}HjzNjX#jdsuOIPsjm zo0I99MoF-G!yPA%Jck#tBV;caGv1YQib1!l)c=`76%XAmV4l_hp&&KyG z+kU33`F{q&hQZUx)ra{H*aH|uHy1nKoa9DgfupniH??CgW;L(#*9<0TG1B*X;g!R{ zFkH^9eJxU(@~Oz&r^j1cRBemNAPBJXB=4dpWHW#Z*}-dm^GW{Tp}so&?J2uPv)Zy- zUU4V=bP|T3Ri0f|H%gWtGoE=~eV8}1{yQ`|UC0BiQ>(J>Gl15KrR#X{`anyV8~dJX zC92B+V0Bj%N%1ue!<7pfA0|@W{pg^<{WUmSHu88rE6c@lUnP^xxiTf zzi!h%l#Pp{Ck!RIekpB9SokK)OzogpDOA;(==E2}jNw-j##lySot{-1`eA7#Pc?s# zqi3M@C#OxG1*@D~F^q&tY_E(1BRt;fU3#WL8C>z<`Ku#+xLJ84aDSCL0#7bq!jxpW zz)TQM(kjd>4BbL39ZDi|FZMa}2ffP<(RQI(XsNOOK%Ul6gN~2aBeb=)UlE#@TU_S` zaL&ArLdNGRwX!nhY9htiE{^Mx`p{va8nHj|FEJ;2#sE0-{-66 z7TG`O9aPjU&;AO~ut})k^7^tTpqejGV`xz3fh#)c3iA=g)}|tQuN5Xj3;}t>rK_{% zwr?Jfuk9*m<@9EOq? 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All Rights Reserved. Source is a trademark of Adobe Systems Incorporated in the United States and/or other countries. + +This Font Software is licensed under the SIL Open Font License, Version 1.1. +This license is copied below, and is also available with a FAQ at: +http://scripts.sil.org/OFL + + +----------------------------------------------------------- +SIL OPEN FONT LICENSE Version 1.1 - 26 February 2007 +----------------------------------------------------------- + +PREAMBLE +The goals of the Open Font License (OFL) are to stimulate worldwide +development of collaborative font projects, to support the font creation +efforts of academic and linguistic communities, and to provide a free and +open framework in which fonts may be shared and improved in partnership +with others. + +The OFL allows the licensed fonts to be used, studied, modified and +redistributed freely as long as they are not sold by themselves. The +fonts, including any derivative works, can be bundled, embedded, +redistributed and/or sold with any software provided that any reserved +names are not used by derivative works. The fonts and derivatives, +however, cannot be released under any other type of license. The +requirement for fonts to remain under this license does not apply +to any document created using the fonts or their derivatives. + +DEFINITIONS +"Font Software" refers to the set of files released by the Copyright +Holder(s) under this license and clearly marked as such. 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The requirement for fonts to +remain under this license does not apply to any document created +using the Font Software. + +TERMINATION +This license becomes null and void if any of the above conditions are +not met. + +DISCLAIMER +THE FONT SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO ANY WARRANTIES OF +MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT +OF COPYRIGHT, PATENT, TRADEMARK, OR OTHER RIGHT. IN NO EVENT SHALL THE +COPYRIGHT HOLDER BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, +INCLUDING ANY GENERAL, SPECIAL, INDIRECT, INCIDENTAL, OR CONSEQUENTIAL +DAMAGES, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING +FROM, OUT OF THE USE OR INABILITY TO USE THE FONT SOFTWARE OR FROM +OTHER DEALINGS IN THE FONT SOFTWARE. diff --git a/learn/acton-by-example/fonts/fonts.css b/learn/acton-by-example/fonts/fonts.css new file mode 100644 index 0000000..858efa5 --- /dev/null +++ b/learn/acton-by-example/fonts/fonts.css @@ -0,0 +1,100 @@ +/* Open Sans is licensed under the Apache License, Version 2.0. See http://www.apache.org/licenses/LICENSE-2.0 */ +/* Source Code Pro is under the Open Font License. See https://scripts.sil.org/cms/scripts/page.php?site_id=nrsi&id=OFL */ + +/* open-sans-300 - latin_vietnamese_latin-ext_greek-ext_greek_cyrillic-ext_cyrillic */ +@font-face { + font-family: 'Open Sans'; + font-style: normal; + font-weight: 300; + src: local('Open Sans Light'), local('OpenSans-Light'), + url('open-sans-v17-all-charsets-300.woff2') format('woff2'); +} + +/* open-sans-300italic - latin_vietnamese_latin-ext_greek-ext_greek_cyrillic-ext_cyrillic */ +@font-face { + font-family: 'Open Sans'; + font-style: italic; + font-weight: 300; + src: local('Open Sans Light Italic'), local('OpenSans-LightItalic'), + url('open-sans-v17-all-charsets-300italic.woff2') format('woff2'); +} + +/* open-sans-regular - latin_vietnamese_latin-ext_greek-ext_greek_cyrillic-ext_cyrillic */ +@font-face { + font-family: 'Open Sans'; + font-style: normal; + font-weight: 400; + src: local('Open Sans Regular'), local('OpenSans-Regular'), + url('open-sans-v17-all-charsets-regular.woff2') format('woff2'); +} + +/* open-sans-italic - latin_vietnamese_latin-ext_greek-ext_greek_cyrillic-ext_cyrillic */ +@font-face { + font-family: 'Open Sans'; + font-style: italic; + font-weight: 400; + src: local('Open Sans Italic'), local('OpenSans-Italic'), + url('open-sans-v17-all-charsets-italic.woff2') format('woff2'); +} + +/* open-sans-600 - latin_vietnamese_latin-ext_greek-ext_greek_cyrillic-ext_cyrillic */ +@font-face { + font-family: 'Open Sans'; + font-style: normal; + font-weight: 600; + src: local('Open Sans SemiBold'), local('OpenSans-SemiBold'), + url('open-sans-v17-all-charsets-600.woff2') format('woff2'); +} + +/* open-sans-600italic - latin_vietnamese_latin-ext_greek-ext_greek_cyrillic-ext_cyrillic */ +@font-face { + font-family: 'Open Sans'; + font-style: italic; + font-weight: 600; + src: local('Open Sans SemiBold Italic'), local('OpenSans-SemiBoldItalic'), + url('open-sans-v17-all-charsets-600italic.woff2') format('woff2'); +} + +/* open-sans-700 - latin_vietnamese_latin-ext_greek-ext_greek_cyrillic-ext_cyrillic */ +@font-face { + font-family: 'Open Sans'; + font-style: normal; + font-weight: 700; + src: local('Open Sans Bold'), local('OpenSans-Bold'), + url('open-sans-v17-all-charsets-700.woff2') format('woff2'); +} + +/* open-sans-700italic - latin_vietnamese_latin-ext_greek-ext_greek_cyrillic-ext_cyrillic */ +@font-face { + font-family: 'Open Sans'; + font-style: italic; + font-weight: 700; + src: local('Open Sans Bold Italic'), local('OpenSans-BoldItalic'), + url('open-sans-v17-all-charsets-700italic.woff2') format('woff2'); +} + +/* open-sans-800 - latin_vietnamese_latin-ext_greek-ext_greek_cyrillic-ext_cyrillic */ +@font-face { + font-family: 'Open Sans'; + font-style: normal; + font-weight: 800; + src: local('Open Sans ExtraBold'), local('OpenSans-ExtraBold'), + url('open-sans-v17-all-charsets-800.woff2') format('woff2'); +} + +/* open-sans-800italic - latin_vietnamese_latin-ext_greek-ext_greek_cyrillic-ext_cyrillic */ +@font-face { + font-family: 'Open Sans'; + font-style: italic; + font-weight: 800; + src: local('Open Sans ExtraBold Italic'), local('OpenSans-ExtraBoldItalic'), + url('open-sans-v17-all-charsets-800italic.woff2') format('woff2'); +} + +/* source-code-pro-500 - latin_vietnamese_latin-ext_greek_cyrillic-ext_cyrillic */ +@font-face { + font-family: 'Source Code Pro'; + font-style: normal; + font-weight: 500; + src: url('source-code-pro-v11-all-charsets-500.woff2') format('woff2'); +} diff --git a/learn/acton-by-example/fonts/open-sans-v17-all-charsets-300.woff2 b/learn/acton-by-example/fonts/open-sans-v17-all-charsets-300.woff2 new file mode 100644 index 0000000000000000000000000000000000000000..9f51be370fa913ce6de2922b580c262c4822b337 GIT binary patch literal 44352 zcmV(;K-<4}Pew8T0RR910Ifg(5dZ)H0f7hr0Ib{q0RR9100000000000000000000 z0000QE*lUWfmQ}!0EY+&fhq})G!YOAg!yQMtSAeP3IG8%0we>R0t6rhgFFYi4Ge-h zTM$x_K;*{m=TyO<(oF`$dr#+gT@uRz<@OP72f1way{Ld4djxa`IG0*=K;{4c|Nq>i 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/dev/null +++ b/learn/acton-by-example/functions/actor_methods.html @@ -0,0 +1,238 @@ + + + + + + Actor methods + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    + + + + + + + + + + + + + +
    + +
    + + + + + + + + +
    +
    +

    Actor methods

    +

    Actor methods are declared under an actor using the def keyword.

    +

    An actor method runs in the context of the actor and can access its private state. As Actors are sequential processes, calling other methods on the local actor or any function is going to be run sequentially.

    +

    Calling an actor method on the local actor can be done simply by calling it by its name, without any prefix such as self..

    +

    All actor methods are public. Call a method on another actor by calling actor_name.method_name(). Calling methods on other actors can be done synchronously or asynchronously.

    +

    Source:

    +
    
+def multiply(a, b):
+    print("Multiplying", a, "with", b)
+    return a*b
+    
+actor main(env):
+    var secret = 42
+
+    def compute(a):
+        print("Computing result based on our secret", secret)
+        res = multiply(a, secret)
+        return res
+
+    result = compute(3)
+    print("Result:", result)
+    env.exit(0)
+
    +

    Output:

    +
    Computing result based on our secret 42
+Multiplying 3 with 42
+Result: 126
+
    + +
    + + +
    +
    + + + +
    + + + + + + + + + + + + + + + + + + + +
    + + diff --git a/learn/acton-by-example/functions/higher_order.html b/learn/acton-by-example/functions/higher_order.html new file mode 100644 index 0000000..b15c3ae --- /dev/null +++ b/learn/acton-by-example/functions/higher_order.html @@ -0,0 +1,236 @@ + + + + + + Higher order functions + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    + + + + + + + + + + + + + +
    + +
    + + + + + + + + +
    +
    +

    Higher order functions

    +

    Acton supports higher order functions which means you can pass a function as an argument to another function.

    +

    Source:

    +
    def multiply_with_3(a):
+    print("Multiplying with 3")
+    return 3*a
+
+def multiply_with_42(a):
+    print("Multiplying with 42")
+    return 42*a
+
+def compute(a, fun):
+    """Compute value from a using function fun"""
+    return fun(a)
+    
+actor main(env):
+    print( compute(7, multiply_with_3) )
+    print( compute(7, multiply_with_42) )
+    env.exit(0)
+
    +

    Output:

    +
    Multiplying with 3
+21
+Multiplying with 42
+294
+
    + +
    + + +
    +
    + + + +
    + + + + + + + + + + + + + + + + + + + +
    + + diff --git a/learn/acton-by-example/hello.html b/learn/acton-by-example/hello.html new file mode 100644 index 0000000..b62a064 --- /dev/null +++ b/learn/acton-by-example/hello.html @@ -0,0 +1,231 @@ + + + + + + Hello World + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    + + + + + + + + + + + + + +
    + +
    + + + + + + + + +
    +
    +

    Hello World

    +

    We follow tradition and introduce Acton with the following minimal example

    +

    Source:

    +
    # This is a comment, which is ignored by the compiler.
+
+# An actor named 'main' is automatically discovered and recognized as the root 
+# actor. Any .act file with a main actor will be compiled into a binary 
+# executable and the main actor becomes the starting point.
+actor main(env):
+    print("Hello World!")
+    env.exit(0)
+
    +

    Compile and run:

    +
    acton hello.act
+./hello
+
    +

    Output:

    +
    Hello World!
+
    +

    Description

    +

    When an Acton program runs, it really consits of a collection of actors that interact with each other. In the above example, we have just a single actor, which has been given the name main and that acts as the root actor of our system. The root actor of a system takes a parameter env, which represents the execution environment. env has methods for accessing command line arguments and carries a reference to the capabilities of the surrounding world, WorldCap, for accessing the environment, e.g. reading from and writing to keyboard/screen and files, working with sockets etc.

    + +
    + + +
    +
    + + + +
    + + + + + + + + + + + + + + + + + + + +
    + + diff --git a/learn/acton-by-example/hello/running_tests.html b/learn/acton-by-example/hello/running_tests.html new file mode 100644 index 0000000..5e947a6 --- /dev/null +++ b/learn/acton-by-example/hello/running_tests.html @@ -0,0 +1,222 @@ + + + + + + Running Tests + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    + + + + + + + + + + + + + +
    + +
    + + + + + + + + +
    +
    +

    Running Tests

    +

    Writing tests is an integral part of writing software. In an Acton project, you can run all the tests by issuing acton test:

    +
    foo@bar:~hello$ acton test
+
+Tests - module hello:
+  foo:                   OK:  278 runs in 50.238ms
+
+All 1 tests passed (23.491s)
+
+foo@bar:~hello$ 
+
    +

    See the Testing section on how to write tests.

    + +
    + + +
    +
    + + + +
    + + + + + + + + + + + + + + + + + + + +
    + + diff --git a/learn/acton-by-example/hello/shebang.html b/learn/acton-by-example/hello/shebang.html new file mode 100644 index 0000000..f637c75 --- /dev/null +++ b/learn/acton-by-example/hello/shebang.html @@ -0,0 +1,226 @@ + + + + + + Acton scripts + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    + + + + + + + + + + + + + +
    + +
    + + + + + + + + +
    +
    +

    Shebang

    +

    While Acton is a compiled language and the acton compiler produces an executable binary, script style execution is also possible through the use of a shebang line.

    +

    Source:

    +
    #!/usr/bin/env runacton
+
+actor main(env):
+    print("Hello World!")
+    env.exit(0)
+
    +

    Ensure the executable bit is set and run your .act file directly:

    +
    chmod a+x hello.act
+./hello.act
+
    +

    Output:

    +
    Hello World!
+
    + +
    + + +
    +
    + + + +
    + + + + + + + + + + + + + + + + + + + +
    + + diff --git a/learn/acton-by-example/highlight.css b/learn/acton-by-example/highlight.css new file mode 100644 index 0000000..352c79b --- /dev/null +++ b/learn/acton-by-example/highlight.css @@ -0,0 +1,83 @@ +/* + * An increased contrast highlighting scheme loosely based on the + * "Base16 Atelier Dune Light" theme by Bram de Haan + * (http://atelierbram.github.io/syntax-highlighting/atelier-schemes/dune) + * Original Base16 color scheme by Chris Kempson + * (https://github.com/chriskempson/base16) + */ + +/* Comment */ +.hljs-comment, +.hljs-quote { + color: #575757; +} + +/* Red */ +.hljs-variable, +.hljs-template-variable, +.hljs-attribute, +.hljs-attr, +.hljs-tag, +.hljs-name, +.hljs-regexp, +.hljs-link, +.hljs-name, +.hljs-selector-id, +.hljs-selector-class { + color: #d70025; +} + +/* Orange */ +.hljs-number, +.hljs-meta, +.hljs-built_in, +.hljs-builtin-name, +.hljs-literal, +.hljs-type, +.hljs-params { + color: #b21e00; +} + +/* Green */ +.hljs-string, +.hljs-symbol, 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__FLOAT__"},contains:[s.COMMENT(";","$",{relevance:0}),{className:"number",variants:[{begin:"\\b(?:([0-9][0-9_]*)?\\.[0-9_]*(?:[eE][+-]?[0-9_]+)?|(0[Xx])?[0-9][0-9_]*\\.?[0-9_]*(?:[pP](?:[+-]?[0-9_]+)?)?)\\b",relevance:0},{begin:"\\$[0-9][0-9A-Fa-f]*",relevance:0},{begin:"\\b(?:[0-9A-Fa-f][0-9A-Fa-f_]*[Hh]|[0-9][0-9_]*[DdTt]?|[0-7][0-7_]*[QqOo]|[0-1][0-1_]*[BbYy])\\b"},{begin:"\\b(?:0[Xx][0-9A-Fa-f_]+|0[DdTt][0-9_]+|0[QqOo][0-7_]+|0[BbYy][0-1_]+)\\b"}]},s.QUOTE_STRING_MODE,{className:"string",variants:[{begin:"'",end:"[^\\\\]'"},{begin:"`",end:"[^\\\\]`"}],relevance:0},{className:"symbol",variants:[{begin:"^\\s*[A-Za-z._?][A-Za-z0-9_$#@~.?]*(:|\\s+label)"},{begin:"^\\s*%%[A-Za-z0-9_$#@~.?]*:"}],relevance:0},{className:"subst",begin:"%[0-9]+",relevance:0},{className:"subst",begin:"%!S+",relevance:0},{className:"meta",begin:/^\s*\.[\w_-]+/}]}}}()); \ No newline at end of file diff --git a/learn/acton-by-example/index.html b/learn/acton-by-example/index.html new file mode 100644 index 0000000..ab7d905 --- /dev/null +++ b/learn/acton-by-example/index.html @@ -0,0 +1,207 @@ + + + + + + Getting started + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    + + + + + + + + + + + + + +
    + +
    + + + + + + + + +
    +
    +
    AGuideto.|
    +

    Acton is a advanced general purpose programming language offering functional and object-oriented style of programming based on the actor-model and async I/O. Type safe and with capabilities based security, Acton is statically compiled for high performance and portability. In other words, pretty much perfect ;) We hope you enjoy it as much as we do. It's readily available to build anything from advanced "shell scripts" to low level databases.

    +

    Unique among programming languages, Acton offers orthogonal persistence, which means you don't have to think about how to persist data, or rather the state of your program, for durability. Acton will do it for you, using its fault-tolerant distribute database. Pretty damn cool!

    + +
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    + + + + + + + + + + + + + + + + + + + +
    + + diff --git a/learn/acton-by-example/install.html b/learn/acton-by-example/install.html new file mode 100644 index 0000000..2b2c268 --- /dev/null +++ b/learn/acton-by-example/install.html @@ -0,0 +1,228 @@ + + + + + + Installation + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    + + + + + + + + + + + + + +
    + +
    + + + + + + + + +
    +
    +

    Installation

    +
    + +
    +

    For Debian derivative distributions that use .dpkg and the APT ecosystem. Add the Acton APT repo and install from there:

    +
    wget -q -O - https://apt.acton-lang.io/acton.gpg | sudo apt-key add -
+echo "deb [arch=amd64] http://apt.acton-lang.io/ stable main" | sudo tee /etc/apt/sources.list.d/acton.list
+sudo apt-get update
+sudo apt-get install -qy acton
+
    +
    + +
    +
    + + +
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    + + + +
    + + + + + + + + + + + + + + + + + + + +
    + + diff --git a/learn/acton-by-example/install_tip.html b/learn/acton-by-example/install_tip.html new file mode 100644 index 0000000..4db43d1 --- /dev/null +++ b/learn/acton-by-example/install_tip.html @@ -0,0 +1,236 @@ + + + + + + Tip / Nightly + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    + + + + + + + + + + + + + +
    + +
    + + + + + + + + +
    +
    +

    Installation

    +

    Tip releases are built from the latest commit on the acton git repo main branch. They are built at least once a night, so can be thought of as nightlies but more up to date.

    +
    + +
    +

    For Debian derivative distributions that use .dpkg and the APT ecosystem. Add the Acton APT tip repo and install from there:

    +
    wget -q -O - https://apt.acton-lang.io/acton.gpg | sudo apt-key add -
+echo "deb [arch=amd64] http://aptip.acton-lang.io/ tip main" | sudo tee /etc/apt/sources.list.d/acton.list
+sudo apt-get update
+sudo apt-get install -qy acton
+
    +
    + + +
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    + + diff --git a/learn/acton-by-example/mark.min.js b/learn/acton-by-example/mark.min.js new file mode 100644 index 0000000..1636231 --- /dev/null +++ b/learn/acton-by-example/mark.min.js @@ -0,0 +1,7 @@ +/*!*************************************************** +* mark.js v8.11.1 +* https://markjs.io/ +* Copyright (c) 2014–2018, Julian Kühnel +* Released under the MIT license https://git.io/vwTVl +*****************************************************/ +!function(e,t){"object"==typeof exports&&"undefined"!=typeof module?module.exports=t():"function"==typeof define&&define.amd?define(t):e.Mark=t()}(this,function(){"use strict";var e="function"==typeof Symbol&&"symbol"==typeof Symbol.iterator?function(e){return typeof e}:function(e){return e&&"function"==typeof Symbol&&e.constructor===Symbol&&e!==Symbol.prototype?"symbol":typeof e},t=function(e,t){if(!(e instanceof t))throw new TypeError("Cannot call a class as a function")},n=function(){function e(e,t){for(var n=0;n1&&void 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+a.admonition-anchor-link:link:hover, a.admonition-anchor-link:visited:hover { + text-decoration: none; +} +a.admonition-anchor-link::before { + content: "§"; +} + +:is(.admonition-title, summary.admonition-title) { + position: relative; + min-height: 4rem; + margin-block: 0; + margin-inline: -1.6rem -1.2rem; + padding-block: 0.8rem; + padding-inline: 4.4rem 1.2rem; + font-weight: 700; + background-color: rgba(68, 138, 255, 0.1); + print-color-adjust: exact; + -webkit-print-color-adjust: exact; + display: flex; +} +:is(.admonition-title, summary.admonition-title) p { + margin: 0; +} +html :is(.admonition-title, summary.admonition-title):last-child { + margin-bottom: 0; +} +:is(.admonition-title, summary.admonition-title)::before { + position: absolute; + top: 0.625em; + inset-inline-start: 1.6rem; + width: 2rem; + height: 2rem; + background-color: #448aff; + print-color-adjust: exact; + -webkit-print-color-adjust: exact; + mask-image: url('data:image/svg+xml;charset=utf-8,'); + -webkit-mask-image: url('data:image/svg+xml;charset=utf-8,'); + mask-repeat: no-repeat; + -webkit-mask-repeat: no-repeat; + mask-size: contain; + -webkit-mask-size: contain; + content: ""; +} +:is(.admonition-title, summary.admonition-title):hover a.admonition-anchor-link { + display: initial; +} + +details.admonition > summary.admonition-title::after { + position: absolute; + top: 0.625em; + inset-inline-end: 1.6rem; + height: 2rem; + width: 2rem; + background-color: currentcolor; + mask-image: var(--md-details-icon); + -webkit-mask-image: var(--md-details-icon); + mask-repeat: no-repeat; + -webkit-mask-repeat: no-repeat; + mask-size: contain; + -webkit-mask-size: contain; + content: ""; + transform: rotate(0deg); + transition: transform 0.25s; +} +details[open].admonition > summary.admonition-title::after { + transform: rotate(90deg); +} + +:root { + --md-details-icon: url("data:image/svg+xml;charset=utf-8,"); +} + +:root { + --md-admonition-icon--admonish-note: url("data:image/svg+xml;charset=utf-8,"); + --md-admonition-icon--admonish-abstract: url("data:image/svg+xml;charset=utf-8,"); + --md-admonition-icon--admonish-info: url("data:image/svg+xml;charset=utf-8,"); + --md-admonition-icon--admonish-tip: url("data:image/svg+xml;charset=utf-8,"); + --md-admonition-icon--admonish-success: url("data:image/svg+xml;charset=utf-8,"); + --md-admonition-icon--admonish-question: url("data:image/svg+xml;charset=utf-8,"); + --md-admonition-icon--admonish-warning: url("data:image/svg+xml;charset=utf-8,"); + --md-admonition-icon--admonish-failure: url("data:image/svg+xml;charset=utf-8,"); + --md-admonition-icon--admonish-danger: url("data:image/svg+xml;charset=utf-8,"); + --md-admonition-icon--admonish-bug: url("data:image/svg+xml;charset=utf-8,"); + --md-admonition-icon--admonish-example: url("data:image/svg+xml;charset=utf-8,"); + --md-admonition-icon--admonish-quote: url("data:image/svg+xml;charset=utf-8,"); +} + +:is(.admonition):is(.admonish-note) { + border-color: #448aff; +} + +:is(.admonish-note) > :is(.admonition-title, summary.admonition-title) { + background-color: rgba(68, 138, 255, 0.1); +} +:is(.admonish-note) > :is(.admonition-title, summary.admonition-title)::before { + background-color: #448aff; + mask-image: var(--md-admonition-icon--admonish-note); + -webkit-mask-image: var(--md-admonition-icon--admonish-note); + mask-repeat: no-repeat; + -webkit-mask-repeat: no-repeat; + mask-size: contain; + -webkit-mask-repeat: no-repeat; +} + +:is(.admonition):is(.admonish-abstract, .admonish-summary, .admonish-tldr) { + border-color: #00b0ff; +} + +:is(.admonish-abstract, .admonish-summary, .admonish-tldr) > :is(.admonition-title, summary.admonition-title) { + background-color: rgba(0, 176, 255, 0.1); +} +:is(.admonish-abstract, .admonish-summary, .admonish-tldr) > :is(.admonition-title, summary.admonition-title)::before { + background-color: #00b0ff; + mask-image: var(--md-admonition-icon--admonish-abstract); + -webkit-mask-image: var(--md-admonition-icon--admonish-abstract); + mask-repeat: no-repeat; + -webkit-mask-repeat: no-repeat; + mask-size: contain; + -webkit-mask-repeat: no-repeat; +} + +:is(.admonition):is(.admonish-info, .admonish-todo) { + border-color: #00b8d4; +} + +:is(.admonish-info, .admonish-todo) > :is(.admonition-title, summary.admonition-title) { + background-color: rgba(0, 184, 212, 0.1); +} +:is(.admonish-info, .admonish-todo) > :is(.admonition-title, summary.admonition-title)::before { + background-color: #00b8d4; + mask-image: var(--md-admonition-icon--admonish-info); + -webkit-mask-image: var(--md-admonition-icon--admonish-info); + mask-repeat: no-repeat; + -webkit-mask-repeat: no-repeat; + mask-size: contain; + -webkit-mask-repeat: no-repeat; +} + +:is(.admonition):is(.admonish-tip, .admonish-hint, .admonish-important) { + border-color: #00bfa5; +} + +:is(.admonish-tip, .admonish-hint, .admonish-important) > :is(.admonition-title, summary.admonition-title) { + background-color: rgba(0, 191, 165, 0.1); +} +:is(.admonish-tip, .admonish-hint, .admonish-important) > :is(.admonition-title, summary.admonition-title)::before { + background-color: #00bfa5; + mask-image: var(--md-admonition-icon--admonish-tip); + -webkit-mask-image: var(--md-admonition-icon--admonish-tip); + mask-repeat: no-repeat; + -webkit-mask-repeat: no-repeat; + mask-size: contain; + -webkit-mask-repeat: no-repeat; +} + +:is(.admonition):is(.admonish-success, .admonish-check, .admonish-done) { + border-color: #00c853; +} + +:is(.admonish-success, .admonish-check, .admonish-done) > :is(.admonition-title, summary.admonition-title) { + background-color: rgba(0, 200, 83, 0.1); +} +:is(.admonish-success, .admonish-check, .admonish-done) > :is(.admonition-title, summary.admonition-title)::before { + background-color: #00c853; + mask-image: var(--md-admonition-icon--admonish-success); + -webkit-mask-image: var(--md-admonition-icon--admonish-success); + mask-repeat: no-repeat; + -webkit-mask-repeat: no-repeat; + mask-size: contain; + -webkit-mask-repeat: no-repeat; +} + +:is(.admonition):is(.admonish-question, .admonish-help, .admonish-faq) { + border-color: #64dd17; +} + +:is(.admonish-question, .admonish-help, .admonish-faq) > :is(.admonition-title, summary.admonition-title) { + background-color: rgba(100, 221, 23, 0.1); +} +:is(.admonish-question, .admonish-help, .admonish-faq) > :is(.admonition-title, summary.admonition-title)::before { + background-color: #64dd17; + mask-image: var(--md-admonition-icon--admonish-question); + -webkit-mask-image: var(--md-admonition-icon--admonish-question); + mask-repeat: no-repeat; + -webkit-mask-repeat: no-repeat; + mask-size: contain; + -webkit-mask-repeat: no-repeat; +} + +:is(.admonition):is(.admonish-warning, .admonish-caution, .admonish-attention) { + border-color: #ff9100; +} + +:is(.admonish-warning, .admonish-caution, .admonish-attention) > :is(.admonition-title, summary.admonition-title) { + background-color: rgba(255, 145, 0, 0.1); +} +:is(.admonish-warning, .admonish-caution, .admonish-attention) > :is(.admonition-title, summary.admonition-title)::before { + background-color: #ff9100; + mask-image: var(--md-admonition-icon--admonish-warning); + -webkit-mask-image: var(--md-admonition-icon--admonish-warning); + mask-repeat: no-repeat; + -webkit-mask-repeat: no-repeat; + mask-size: contain; + -webkit-mask-repeat: no-repeat; +} + +:is(.admonition):is(.admonish-failure, .admonish-fail, .admonish-missing) { + border-color: #ff5252; +} + +:is(.admonish-failure, .admonish-fail, .admonish-missing) > :is(.admonition-title, summary.admonition-title) { + background-color: rgba(255, 82, 82, 0.1); +} +:is(.admonish-failure, .admonish-fail, .admonish-missing) > :is(.admonition-title, summary.admonition-title)::before { + background-color: #ff5252; + mask-image: var(--md-admonition-icon--admonish-failure); + -webkit-mask-image: var(--md-admonition-icon--admonish-failure); + mask-repeat: no-repeat; + -webkit-mask-repeat: no-repeat; + mask-size: contain; + -webkit-mask-repeat: no-repeat; +} + +:is(.admonition):is(.admonish-danger, .admonish-error) { + border-color: #ff1744; +} + +:is(.admonish-danger, .admonish-error) > :is(.admonition-title, summary.admonition-title) { + background-color: rgba(255, 23, 68, 0.1); +} +:is(.admonish-danger, .admonish-error) > :is(.admonition-title, summary.admonition-title)::before { + background-color: #ff1744; + mask-image: var(--md-admonition-icon--admonish-danger); + -webkit-mask-image: var(--md-admonition-icon--admonish-danger); + mask-repeat: no-repeat; + -webkit-mask-repeat: no-repeat; + mask-size: contain; + -webkit-mask-repeat: no-repeat; +} + +:is(.admonition):is(.admonish-bug) { + border-color: #f50057; +} + +:is(.admonish-bug) > :is(.admonition-title, summary.admonition-title) { + background-color: rgba(245, 0, 87, 0.1); +} +:is(.admonish-bug) > :is(.admonition-title, summary.admonition-title)::before { + background-color: #f50057; + mask-image: var(--md-admonition-icon--admonish-bug); + -webkit-mask-image: var(--md-admonition-icon--admonish-bug); + mask-repeat: no-repeat; + -webkit-mask-repeat: no-repeat; + mask-size: contain; + -webkit-mask-repeat: no-repeat; +} + +:is(.admonition):is(.admonish-example) { + border-color: #7c4dff; +} + +:is(.admonish-example) > :is(.admonition-title, summary.admonition-title) { + background-color: rgba(124, 77, 255, 0.1); +} +:is(.admonish-example) > :is(.admonition-title, summary.admonition-title)::before { + background-color: #7c4dff; + mask-image: var(--md-admonition-icon--admonish-example); + -webkit-mask-image: var(--md-admonition-icon--admonish-example); + mask-repeat: no-repeat; + -webkit-mask-repeat: no-repeat; + mask-size: contain; + -webkit-mask-repeat: no-repeat; +} + +:is(.admonition):is(.admonish-quote, .admonish-cite) { + border-color: #9e9e9e; +} + +:is(.admonish-quote, .admonish-cite) > :is(.admonition-title, summary.admonition-title) { + background-color: rgba(158, 158, 158, 0.1); +} +:is(.admonish-quote, .admonish-cite) > :is(.admonition-title, summary.admonition-title)::before { + background-color: #9e9e9e; + mask-image: var(--md-admonition-icon--admonish-quote); + -webkit-mask-image: var(--md-admonition-icon--admonish-quote); + mask-repeat: no-repeat; + -webkit-mask-repeat: no-repeat; + mask-size: contain; + -webkit-mask-repeat: no-repeat; +} + +.navy :is(.admonition) { + background-color: var(--sidebar-bg); +} + +.ayu :is(.admonition), +.coal :is(.admonition) { + background-color: var(--theme-hover); +} + +.rust :is(.admonition) { + background-color: var(--sidebar-bg); + color: var(--sidebar-fg); +} +.rust .admonition-anchor-link:link, .rust .admonition-anchor-link:visited { + color: var(--sidebar-fg); +} diff --git a/learn/acton-by-example/modules.html b/learn/acton-by-example/modules.html new file mode 100644 index 0000000..d6f9623 --- /dev/null +++ b/learn/acton-by-example/modules.html @@ -0,0 +1,229 @@ + + + + + + Modules + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    + + + + + + + + + + + + + +
    + +
    + + + + + + + + +
    +
    +

    Modules

    +

    Acton modules can be used to hierarchically structure programs by splitting code into smaller logical units (modules).

    +

    Import modules by using the import keyword. The module will be available with its fully qualified name.

    +

    Use from .. import to import a single function from a module.

    +

    Functions and modules can be aliased using the as keyword.

    +
    import time
+import time as timmy
+from time import now
+from time import now as rightnow
+
+actor main(env):
+    time.now()         # using the fully qualified name
+    timmy.now()        # using aliased module name
+    now()              # using the directly imported function
+    rightnow()         # using function alias
+
+    env.exit(0)
+
    +

    Remember, all state in an Acton program must be held by actors. There can be no mutable variables in an Acton module, only constants! Similarly, there can be no global instantiation code in a module.

    + +
    + + +
    +
    + + + +
    + + + + + + + + + + + + + + + + + + + +
    + + diff --git a/learn/acton-by-example/package_management.html b/learn/acton-by-example/package_management.html new file mode 100644 index 0000000..c584535 --- /dev/null +++ b/learn/acton-by-example/package_management.html @@ -0,0 +1,215 @@ + + + + + + Package Management + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    + + + + + + + + + + + + + +
    + +
    + + + + + + + + +
    +
    +

    Package Management

    +

    acton offers integrated package management to declare dependencies on other Acton packages and automatically download them from their sources on the Internet.

    +

    The guiding principle behind Actons package management is to strive for determinism, robustness and safety. This is primarily achieved by only resolving dependencies at design time. That is, it is the developer of a particular Acton package that determines its exact dependencies and not whomever might be downloading and building said package. The very identity of a package at a particular point in time, which can be thought of as the version of a package, is the hash of its content. This is the foundation of Actons package management. Each dependency has a hash of its content. A URL is just one place from which this particular version of a package can be downloaded. The hash of packages is determined and recorded at design time. Anyone pulling down and building dependencies will have the hash verified to ensure a deterministic build.

    +

    There is no central package repository, instead dependencies are defined as URLs from which the dependency package can be downloaded. This is typically a tar.gz file from GitHub, GitLab or similar source hosting site. Again, the very identity of a version of a package is the conten hash. The URL is only from where to get it.

    +

    Acton is statically compiled, all dependencies are fetched and included at compile time. There are no run time dependencies.

    + +
    + + +
    +
    + + + +
    + + + + + + + + + + + + + + + + + + + +
    + + diff --git a/learn/acton-by-example/pkg/add_dependency.html b/learn/acton-by-example/pkg/add_dependency.html new file mode 100644 index 0000000..3c0141c --- /dev/null +++ b/learn/acton-by-example/pkg/add_dependency.html @@ -0,0 +1,244 @@ + + + + + + Add Dependency + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    + + + + + + + + + + + + + +
    + +
    + + + + + + + + +
    +
    +

    Add Dependency

    +

    Add a dependency to your project by using acton pkg add and providing the URL to the project and a local reference name.

    +

    In this case we add the example foo package as a dependency.

    +
    acton pkg add https://github.com/actonlang/foo/archive/refs/heads/main.zip foo
+
    +

    This will fetch the dependency and add it to the build.act.json file of your local project, resulting in something like:

    +
    {
+    "dependencies": {
+        "foo": {
+            "url": "https://github.com/actonlang/foo/archive/refs/heads/main.zip",
+            "hash": "1220cd47344f8a1e7fe86741c7b0257a63567b4c17ad583bddf690eedd672032abdd"
+        }
+    },
+    "zig_dependencies": {}
+}
+
    +
    +
    +
    +

    Note

    +
    + +
    +
    +

    It is possible to edit build.act.json by hand, but adding dependencies, which requires filling in the 'hash' field requires computing the hash which is somewhat tricky.

    +
    +
    +

    The foo package provides a single foo module with a foo function (that appropriately returns foo). We can now access it from our main actor:

    +
    import foo
+
+actor main(env):
+    print(foo.foo())
+    env.exit(0)
+
    + +
    + + +
    +
    + + + +
    + + + + + + + + + + + + + + + + + + + +
    + + diff --git a/learn/acton-by-example/pkg/fetch_dependencies.html b/learn/acton-by-example/pkg/fetch_dependencies.html new file mode 100644 index 0000000..19b7bc1 --- /dev/null +++ b/learn/acton-by-example/pkg/fetch_dependencies.html @@ -0,0 +1,213 @@ + + + + + + Fetch Deps (Airplane mode) + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    + + + + + + + + + + + + + +
    + +
    + + + + + + + + +
    +
    +

    Fetch Dependencies / Enable Airplane Mode

    +

    You can fetch all the dependencies of a project by using acton fetch. It will download the dependencies specified in build.act.json to the cache.

    +

    acton fetch enables you to work offline (a.k.a airplane mode).

    + +
    + + +
    +
    + + + +
    + + + + + + + + + + + + + + + + + + + +
    + + diff --git a/learn/acton-by-example/pkg/local_dependencies.html b/learn/acton-by-example/pkg/local_dependencies.html new file mode 100644 index 0000000..eb507fd --- /dev/null +++ b/learn/acton-by-example/pkg/local_dependencies.html @@ -0,0 +1,237 @@ + + + + + + Local Dependencies + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    + + + + + + + + + + + + + +
    + +
    + + + + + + + + +
    +
    +

    Local Dependencies

    +

    It is possible to use dependencies available via a local file system path by setting the path attribute. Edit build.act.json and add or modify an existing dependency. Set the path attribute to a relative path on the local file system, e.g.:

    +
    {
+    "dependencies": {
+        "foo": {
+            "url": "https://github.com/actonlang/foo/archive/refs/heads/main.zip",
+            "hash": "1220cd47344f8a1e7fe86741c7b0257a63567b4c17ad583bddf690eedd672032abdd",
+            "path": "../foo"
+        },
+        "local_lib": {
+            "path": "deps/local_lib"
+        }
+    },
+    "zig_dependencies": {}
+}
+
    +
    +
    +
    +

    Note

    +
    + +
    +
    +

    Setting a local path will take priority over a remote url. This can be useful to fork a library and make local modifications to it before submitting them back upstream.

    +
    +
    + +
    + + +
    +
    + + + +
    + + + + + + + + + + + + + + + + + + + +
    + + diff --git a/learn/acton-by-example/pkg/remove_dependency.html b/learn/acton-by-example/pkg/remove_dependency.html new file mode 100644 index 0000000..67ef140 --- /dev/null +++ b/learn/acton-by-example/pkg/remove_dependency.html @@ -0,0 +1,214 @@ + + + + + + Remove Dependency + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    + + + + + + + + + + + + + +
    + +
    + + + + + + + + +
    +
    +

    Remove Dependency

    +

    You can remove a dependency from your project with acton pkg remove:

    +
    acton pkg remove foo
+
    + +
    + + +
    +
    + + + +
    + + + + + + + + + + + + + + + + + + + +
    + + diff --git a/learn/acton-by-example/primitives.html b/learn/acton-by-example/primitives.html new file mode 100644 index 0000000..7fd177f --- /dev/null +++ b/learn/acton-by-example/primitives.html @@ -0,0 +1,259 @@ + + + + + + Variable data types + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    + + + + + + + + + + + + + +
    + +
    + + + + + + + + +
    +
    +

    Variable data types

    +

    Acton supports a plethora of primitive data types.

    +
      +
    • int integers, like 1, 2, 123512, -6542 or 1267650600228229401496703205376 +
        +
      • int is arbitrary precision and can grow beyond machine word sizes
        • +
      • i16 is a fixed size signed 16 bit integer
        • +
      • i32 is a fixed size signed 32 bit integer
        • +
      • i64 is a fixed size signed 64 bit integer
        • +
      • u16 is a fixed size unsigned 16 bit integer
        • +
      • u32 is a fixed size unsigned 32 bit integer
        • +
      • u64 is a fixed size unsigned 64 bit integer
        • +
      +
      • +
    • float 64 bit float, like 1.3 or -382.31
      • +
    • bool boolean, like True or False
      • +
    • str strings, like foo +
        +
      • strings support Unicode characters
        • +
      +
      • +
    • lists like [1, 2, 3] or ["foo", "bar"]
      • +
    • dictionaries like {"foo": 1, "bar": 3}
      • +
    • tuples like (1, "foo")
      • +
    • sets like {"foo", "bar"}
      • +
    +

    In Acton, mutable state can only be held by actors. Global definitions in modules are constant. Assigning to the same name in an actor will shadow the global variable.

    +

    Source:

    +
    foo = 3    # this is a global constant and cannot be changed
+
+def printfoo():
+    print("global foo:", foo)  # this will print the global foo
+
+actor main(env):
+    # this sets a local variable with the name foo, shadowing the global constant foo
+    foo = 4
+    print("local foo, shadowing the global foo:", foo)
+    printfoo()
+
+    a = u16(1234)
+    print("u16:", a)
+
+    env.exit(0)
+
    +

    Output:

    +
    local foo, shadowing the global foo: 4
+global foo: 3
+u16: 1234
+
    + +
    + + +
    +
    + + + +
    + + + + + + + + + + + + + + + + + + + +
    + + diff --git a/learn/acton-by-example/primitives/dicts.html b/learn/acton-by-example/primitives/dicts.html new file mode 100644 index 0000000..53af464 --- /dev/null +++ b/learn/acton-by-example/primitives/dicts.html @@ -0,0 +1,260 @@ + + + + + + Dictionaries + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    + + + + + + + + + + + + + +
    + +
    + + + + + + + + +
    +
    +

    Dictionaries

    +

    Source:

    +
    actor main(env):
+    d = {"foo": 1, "bar": 2}
+    d["cookie"] = 3
+
+    print("Dict: " + str(d))
+    print("len : " + str(len(d)))
+    print("item foo: " + str(d["foo"]))
+    print("item foo: " + str(d.get("foo", "default")))
+    print("get default value when key nonexistent: " + str(d.get("foobar", "DEF_val")))
+    
+    d["bar"] = 42
+    del d["foo"]
+    print("Dict: " + str(d))
+    
+    print("Dict keys: " + str(list(d.keys())))
+    print("Dict values: " + str(list(d.values())))
+
+    print("Dict items:")
+    for k, v in d.items():
+        print("  dict key " + k + "=" + str(v))
+
+    print("Pop last item:", d.popitem())
+    print("Dict after .popitem():", d)
+
+    # Get a shallow copy of a dict. Note the use of .items() to get keys and values
+    new_d = dict(d.items())
+
+    env.exit(0)
+
    +

    Compile and run:

    +
    actonc dicts.act
+./dicts
+
    +

    Output:

    +
    Dict: {"foo":1, "bar":2, "cookie":3}
+len : 3
+item foo: 1
+item foo: 1
+get default value when key nonexistent: DEF_val
+Dict: {"bar":42, "cookie":3}
+Dict keys: ["bar", "cookie"]
+Dict values: [42, 3]
+Dict items:
+  dict key bar=42
+  dict key cookie=3
+Pop last item: ("cookie", 3)
+Dict after .popitem(): {"bar":42}
+
    + +
    + + +
    +
    + + + +
    + + + + + + + + + + + + + + + + + + + +
    + + diff --git a/learn/acton-by-example/primitives/float.html b/learn/acton-by-example/primitives/float.html new file mode 100644 index 0000000..f8bf62e --- /dev/null +++ b/learn/acton-by-example/primitives/float.html @@ -0,0 +1,226 @@ + + + + + + float + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    + + + + + + + + + + + + + +
    + +
    + + + + + + + + +
    +
    +

    float

    +

    Source:

    +
    from math import pi
+
+actor main(env):
+    # round to 2 decimals
+    a = round(pi, 2)
+
+    # print 4 digits of pi
+    print("%.4f" % pi)
+
+    env.exit(0)
+
    +

    Output:

    +
    3.1416
+
    + +
    + + +
    +
    + + + +
    + + + + + + + + + + + + + + + + + + + +
    + + diff --git a/learn/acton-by-example/primitives/lists.html b/learn/acton-by-example/primitives/lists.html new file mode 100644 index 0000000..db08e72 --- /dev/null +++ b/learn/acton-by-example/primitives/lists.html @@ -0,0 +1,281 @@ + + + + + + Lists + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    + + + + + + + + + + + + + +
    + +
    + + + + + + + + +
    +
    +

    Lists

    +

    Source:

    +
    actor main(env):
+    l = ["foo", "foo"]
+    l.append("bar")
+    l.insert(0, "Firsty")
+    l.append("banana")
+
+    # Indexing starts at 0
+    print("First item: " + l[0])
+    # Negative index counts from the end
+    print("Last item : " + l[-1])
+
+    # Note how we need to explicitly cast the list to str before printing
+    print("List items: " + str(l))
+    # We can take a slice of a list with [start:stop] where the start index is
+    # inclusive but the stop index is exclusive, just like in Python.
+    # A slice of a list is also a list, so cast to str.
+    print("A slice   : " + str(l[2:4]))
+    
+    print("Pop first item:", l.pop(0))
+    print("Pop last item:", l.pop(-1))
+    print("List items:", str(l))
+    
+    # Extend a list by adding another list to it
+    l.extend(["apple", "orange"])
+    print("List items:", str(l))
+    
+    unsorted_list = [9, 5, 123, 14, 1]
+    sl = sorted(unsorted_list)
+    print("Sorted list", str(sl))
+
+    # Reverse a list inplace
+    l.reverse()
+    print("Reversed:", l)
+    
+    # Get a shallow copy of the list
+    l2 = l.copy()
+    print("Copy:", l2)
+    
+    # Clear list
+    l.clear()
+    print("List after clear:", str(l))
+
+    env.exit(0)
+
    +

    Compile and run:

    +
    actonc lists.act
+./lists
+
    +

    Output:

    +
    First item: Firsty
+Last item : banana
+List items: ['Firsty', 'foo', 'foo', 'bar', 'banana']
+A slice   : ['foo', 'bar']
+Pop first item: Firsty
+Pop last item: banana
+List items: ['foo', 'foo', 'bar']
+List items: ['foo', 'foo', 'bar', 'apple', 'orange']
+Sorted list [1, 5, 9, 14, 123]
+Reversed: ['orange', 'apple', 'bar', 'foo', 'foo']
+Copy: ['orange', 'apple', 'bar', 'foo', 'foo']
+List after clear: []
+
    +
      +
    • All items in a list must be of the same type +
        +
      • It is not allowed to mix, like ["foo", 1] leads to a compiler error
        • +
      +
      • +
    + +
    + + +
    +
    + + + +
    + + + + + + + + + + + + + + + + + + + +
    + + diff --git a/learn/acton-by-example/primitives/scalars.html b/learn/acton-by-example/primitives/scalars.html new file mode 100644 index 0000000..e1b472e --- /dev/null +++ b/learn/acton-by-example/primitives/scalars.html @@ -0,0 +1,240 @@ + + + + + + Scalars + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    + + + + + + + + + + + + + +
    + +
    + + + + + + + + +
    +
    +

    Scalars

    +

    Source:

    +
    actor main(env):
+    i = 42       # an integer
+    f = 13.37    # a float
+    
+    print(i)
+    print(f)
+
+    s = "Hello"  # a string
+    print(s)
+    # a slice of a string
+    print(s[0:1])
+    
+    b = True     # a boolean
+    print(b)
+    
+    env.exit(0)
+
    +

    Compile and run:

    +
    actonc scalars.act
+./scalars
+
    +

    Output:

    +
    42
+13.37
+Hello
+H
+True
+
    + +
    + + +
    +
    + + + +
    + + + + + + + + + + + + + + + + + + + +
    + + diff --git a/learn/acton-by-example/primitives/sets.html b/learn/acton-by-example/primitives/sets.html new file mode 100644 index 0000000..ac78553 --- /dev/null +++ b/learn/acton-by-example/primitives/sets.html @@ -0,0 +1,264 @@ + + + + + + Sets + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    + + + + + + + + + + + + + +
    + +
    + + + + + + + + +
    +
    +

    Sets

    +

    Source:

    +
    actor main(env):
+    # set syntax is similar to dicts using {} but without keys
+    s = {"foo", "bar"}
+
+    # Although for an empty set, {} cannot be used as it means an empty dict
+    # (and it is impossible to distinguish between the two from syntax alone).
+    # Use set() to create an empty set.
+    empty_set = set()
+
+    print("Set content:", s)
+    if "foo" in s:
+        print("'foo' is in the set")
+    if "a" not in s:
+        print("'a' is not in the set")
+
+    # Adding an item that is already in the set does nothing
+    s.add("foo")
+    print("Set without duplicate 'foo':", s)
+    s.add("a")
+    print("Set after adding 'a':", s)
+    if "a" in s:
+        print("'a' is in the set now")
+    print("Entries in set:", len(s))
+    s.discard("foo")
+    print("Set after discarding 'foo':", s)
+    
+    # Add all items from another set or some other iterable
+    s.update({"x", "y", "z"})
+    print(s)
+
+    env.exit(0)
+
    +

    Compile and run:

    +
    acton sets.act
+./sets
+
    +

    Output:

    +
    Building project in /home/user/foo
+  Compiling example.act for release
+   Finished compilation in   0.032 s
+  Final compilation step
+   Finished final compilation step in   0.701 s
+Set content: {'bar', 'foo'}
+'foo' is in the set
+'a' is not in the set
+Set without duplicate 'foo': {'bar', 'foo'}
+Set after adding 'a': {'bar', 'a', 'foo'}
+'a' is in the set now
+Entries in set: 3
+Set after discarding 'foo': {'bar', 'a'}
+{'x', 'bar', 'a', 'y', 'z'}
+
    + +
    + + +
    +
    + + + +
    + + + + + + + + + + + + + + + + + + + +
    + + diff --git a/learn/acton-by-example/primitives/tuples.html b/learn/acton-by-example/primitives/tuples.html new file mode 100644 index 0000000..05a693a --- /dev/null +++ b/learn/acton-by-example/primitives/tuples.html @@ -0,0 +1,256 @@ + + + + + + Tuples + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    + + + + + + + + + + + + + +
    + +
    + + + + + + + + +
    +
    +

    Tuples

    +

    Source:

    +
    actor main(env):
+    # Items in a tuple can be of different types
+    t = ("foo", 42)
+    # Fields are accessed by their index and using field / attribute selection style:
+    print(t)
+    print(t.0)
+    print(t.1)
+    
+    # Tuples can use named fields
+    nt = (a="bar", b=1337)
+    print(nt)
+    print(nt.a)
+    print(nt.b)
+    
+    r = foo()
+    if r.b:
+        print(r.c)
+
+    env.exit(0)
+    
+def foo() -> (a: str, b: bool, c: int):
+    """A function that returns a tuple with fields name a and b
+    """
+    return (a = "hello", b=True, c=123)
+
    +

    Compile and run:

    +
    actonc sets.act
+./sets
+
    +

    Output:

    +
    ('foo', 42)
+foo
+42
+('bar', 1337)
+bar
+1337
+123
+
    +
      +
    • fields in a tuple can be of different types
      • +
    • tuples have a fixed fields
      • +
    • tuples with named fields is like an anonymous data class, i.e. the data type itself has no name
      • +
    • tuples with named fields can be used like a simple record type
      • +
    + +
    + + +
    +
    + + + +
    + + + + + + + + + + + + + + + + + + + +
    + + diff --git a/learn/acton-by-example/print.html b/learn/acton-by-example/print.html new file mode 100644 index 0000000..99fff10 --- /dev/null +++ b/learn/acton-by-example/print.html @@ -0,0 +1,2584 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    + + + + + + + + + + + + + +
    + +
    + + + + + + + + +
    +
    +
    AGuideto.|
    +

    Acton is a advanced general purpose programming language offering functional and object-oriented style of programming based on the actor-model and async I/O. Type safe and with capabilities based security, Acton is statically compiled for high performance and portability. In other words, pretty much perfect ;) We hope you enjoy it as much as we do. It's readily available to build anything from advanced "shell scripts" to low level databases.

    +

    Unique among programming languages, Acton offers orthogonal persistence, which means you don't have to think about how to persist data, or rather the state of your program, for durability. Acton will do it for you, using its fault-tolerant distribute database. Pretty damn cool!

    +

    Hello World

    +

    We follow tradition and introduce Acton with the following minimal example

    +

    Source:

    +
    # This is a comment, which is ignored by the compiler.
+
+# An actor named 'main' is automatically discovered and recognized as the root 
+# actor. Any .act file with a main actor will be compiled into a binary 
+# executable and the main actor becomes the starting point.
+actor main(env):
+    print("Hello World!")
+    env.exit(0)
+
    +

    Compile and run:

    +
    acton hello.act
+./hello
+
    +

    Output:

    +
    Hello World!
+
    +

    Description

    +

    When an Acton program runs, it really consits of a collection of actors that interact with each other. In the above example, we have just a single actor, which has been given the name main and that acts as the root actor of our system. The root actor of a system takes a parameter env, which represents the execution environment. env has methods for accessing command line arguments and carries a reference to the capabilities of the surrounding world, WorldCap, for accessing the environment, e.g. reading from and writing to keyboard/screen and files, working with sockets etc.

    +

    Installation

    +
    + +
    +

    For Debian derivative distributions that use .dpkg and the APT ecosystem. Add the Acton APT repo and install from there:

    +
    wget -q -O - https://apt.acton-lang.io/acton.gpg | sudo apt-key add -
+echo "deb [arch=amd64] http://apt.acton-lang.io/ stable main" | sudo tee /etc/apt/sources.list.d/acton.list
+sudo apt-get update
+sudo apt-get install -qy acton
+
    +
    + +

    Installation

    +

    Tip releases are built from the latest commit on the acton git repo main branch. They are built at least once a night, so can be thought of as nightlies but more up to date.

    +
    + +
    +

    For Debian derivative distributions that use .dpkg and the APT ecosystem. Add the Acton APT tip repo and install from there:

    +
    wget -q -O - https://apt.acton-lang.io/acton.gpg | sudo apt-key add -
+echo "deb [arch=amd64] http://aptip.acton-lang.io/ tip main" | sudo tee /etc/apt/sources.list.d/acton.list
+sudo apt-get update
+sudo apt-get install -qy acton
+
    +
    + + +

    Shebang

    +

    While Acton is a compiled language and the acton compiler produces an executable binary, script style execution is also possible through the use of a shebang line.

    +

    Source:

    +
    #!/usr/bin/env runacton
+
+actor main(env):
+    print("Hello World!")
+    env.exit(0)
+
    +

    Ensure the executable bit is set and run your .act file directly:

    +
    chmod a+x hello.act
+./hello.act
+
    +

    Output:

    +
    Hello World!
+
    +

    Acton Projects

    +

    Besides compiling individual .act files, it is possible to organize Acton code into an Acton Project, which is suitable once you have more than one .act source code file.

    +

    Use acton to create a new project called foo:

    +
    acton new foo
+
    +

    Output:

    +
    Created project foo
+Enter your new project directory with:
+  cd foo
+Compile:
+  acton build
+Run:
+  ./out/bin/foo
+
    +

    Description

    +

    Use acton build to build a project. The current working directory must be the project directory or a sub-directory to the project directory. acton will discover all source files and compile them according to dependency order.

    +

    Add a main actor to any source file directly under src/ to produce an executable binary. For example, if src/hello.act contains a main actor, it will produce out/bin/hello using main as the root actor.

    +

    Running Tests

    +

    Writing tests is an integral part of writing software. In an Acton project, you can run all the tests by issuing acton test:

    +
    foo@bar:~hello$ acton test
+
+Tests - module hello:
+  foo:                   OK:  278 runs in 50.238ms
+
+All 1 tests passed (23.491s)
+
+foo@bar:~hello$ 
+
    +

    See the Testing section on how to write tests.

    +

    Variable data types

    +

    Acton supports a plethora of primitive data types.

    +
      +
    • int integers, like 1, 2, 123512, -6542 or 1267650600228229401496703205376 +
        +
      • int is arbitrary precision and can grow beyond machine word sizes
        • +
      • i16 is a fixed size signed 16 bit integer
        • +
      • i32 is a fixed size signed 32 bit integer
        • +
      • i64 is a fixed size signed 64 bit integer
        • +
      • u16 is a fixed size unsigned 16 bit integer
        • +
      • u32 is a fixed size unsigned 32 bit integer
        • +
      • u64 is a fixed size unsigned 64 bit integer
        • +
      +
      • +
    • float 64 bit float, like 1.3 or -382.31
      • +
    • bool boolean, like True or False
      • +
    • str strings, like foo +
        +
      • strings support Unicode characters
        • +
      +
      • +
    • lists like [1, 2, 3] or ["foo", "bar"]
      • +
    • dictionaries like {"foo": 1, "bar": 3}
      • +
    • tuples like (1, "foo")
      • +
    • sets like {"foo", "bar"}
      • +
    +

    In Acton, mutable state can only be held by actors. Global definitions in modules are constant. Assigning to the same name in an actor will shadow the global variable.

    +

    Source:

    +
    foo = 3    # this is a global constant and cannot be changed
+
+def printfoo():
+    print("global foo:", foo)  # this will print the global foo
+
+actor main(env):
+    # this sets a local variable with the name foo, shadowing the global constant foo
+    foo = 4
+    print("local foo, shadowing the global foo:", foo)
+    printfoo()
+
+    a = u16(1234)
+    print("u16:", a)
+
+    env.exit(0)
+
    +

    Output:

    +
    local foo, shadowing the global foo: 4
+global foo: 3
+u16: 1234
+
    +

    Variable data types

    +

    Acton supports a plethora of primitive data types.

    +
      +
    • int integers, like 1, 2, 123512, -6542 or 1267650600228229401496703205376 +
        +
      • int is arbitrary precision and can grow beyond machine word sizes
        • +
      • i16 is a fixed size signed 16 bit integer
        • +
      • i32 is a fixed size signed 32 bit integer
        • +
      • i64 is a fixed size signed 64 bit integer
        • +
      • u16 is a fixed size unsigned 16 bit integer
        • +
      • u32 is a fixed size unsigned 32 bit integer
        • +
      • u64 is a fixed size unsigned 64 bit integer
        • +
      +
      • +
    • float 64 bit float, like 1.3 or -382.31
      • +
    • bool boolean, like True or False
      • +
    • str strings, like foo +
        +
      • strings support Unicode characters
        • +
      +
      • +
    • lists like [1, 2, 3] or ["foo", "bar"]
      • +
    • dictionaries like {"foo": 1, "bar": 3}
      • +
    • tuples like (1, "foo")
      • +
    • sets like {"foo", "bar"}
      • +
    +

    In Acton, mutable state can only be held by actors. Global definitions in modules are constant. Assigning to the same name in an actor will shadow the global variable.

    +

    Source:

    +
    foo = 3    # this is a global constant and cannot be changed
+
+def printfoo():
+    print("global foo:", foo)  # this will print the global foo
+
+actor main(env):
+    # this sets a local variable with the name foo, shadowing the global constant foo
+    foo = 4
+    print("local foo, shadowing the global foo:", foo)
+    printfoo()
+
+    a = u16(1234)
+    print("u16:", a)
+
+    env.exit(0)
+
    +

    Output:

    +
    local foo, shadowing the global foo: 4
+global foo: 3
+u16: 1234
+
    +

    Scalars

    +

    Source:

    +
    actor main(env):
+    i = 42       # an integer
+    f = 13.37    # a float
+    
+    print(i)
+    print(f)
+
+    s = "Hello"  # a string
+    print(s)
+    # a slice of a string
+    print(s[0:1])
+    
+    b = True     # a boolean
+    print(b)
+    
+    env.exit(0)
+
    +

    Compile and run:

    +
    actonc scalars.act
+./scalars
+
    +

    Output:

    +
    42
+13.37
+Hello
+H
+True
+
    +

    float

    +

    Source:

    +
    from math import pi
+
+actor main(env):
+    # round to 2 decimals
+    a = round(pi, 2)
+
+    # print 4 digits of pi
+    print("%.4f" % pi)
+
+    env.exit(0)
+
    +

    Output:

    +
    3.1416
+
    +

    Lists

    +

    Source:

    +
    actor main(env):
+    l = ["foo", "foo"]
+    l.append("bar")
+    l.insert(0, "Firsty")
+    l.append("banana")
+
+    # Indexing starts at 0
+    print("First item: " + l[0])
+    # Negative index counts from the end
+    print("Last item : " + l[-1])
+
+    # Note how we need to explicitly cast the list to str before printing
+    print("List items: " + str(l))
+    # We can take a slice of a list with [start:stop] where the start index is
+    # inclusive but the stop index is exclusive, just like in Python.
+    # A slice of a list is also a list, so cast to str.
+    print("A slice   : " + str(l[2:4]))
+    
+    print("Pop first item:", l.pop(0))
+    print("Pop last item:", l.pop(-1))
+    print("List items:", str(l))
+    
+    # Extend a list by adding another list to it
+    l.extend(["apple", "orange"])
+    print("List items:", str(l))
+    
+    unsorted_list = [9, 5, 123, 14, 1]
+    sl = sorted(unsorted_list)
+    print("Sorted list", str(sl))
+
+    # Reverse a list inplace
+    l.reverse()
+    print("Reversed:", l)
+    
+    # Get a shallow copy of the list
+    l2 = l.copy()
+    print("Copy:", l2)
+    
+    # Clear list
+    l.clear()
+    print("List after clear:", str(l))
+
+    env.exit(0)
+
    +

    Compile and run:

    +
    actonc lists.act
+./lists
+
    +

    Output:

    +
    First item: Firsty
+Last item : banana
+List items: ['Firsty', 'foo', 'foo', 'bar', 'banana']
+A slice   : ['foo', 'bar']
+Pop first item: Firsty
+Pop last item: banana
+List items: ['foo', 'foo', 'bar']
+List items: ['foo', 'foo', 'bar', 'apple', 'orange']
+Sorted list [1, 5, 9, 14, 123]
+Reversed: ['orange', 'apple', 'bar', 'foo', 'foo']
+Copy: ['orange', 'apple', 'bar', 'foo', 'foo']
+List after clear: []
+
    +
      +
    • All items in a list must be of the same type +
        +
      • It is not allowed to mix, like ["foo", 1] leads to a compiler error
        • +
      +
      • +
    +

    Dictionaries

    +

    Source:

    +
    actor main(env):
+    d = {"foo": 1, "bar": 2}
+    d["cookie"] = 3
+
+    print("Dict: " + str(d))
+    print("len : " + str(len(d)))
+    print("item foo: " + str(d["foo"]))
+    print("item foo: " + str(d.get("foo", "default")))
+    print("get default value when key nonexistent: " + str(d.get("foobar", "DEF_val")))
+    
+    d["bar"] = 42
+    del d["foo"]
+    print("Dict: " + str(d))
+    
+    print("Dict keys: " + str(list(d.keys())))
+    print("Dict values: " + str(list(d.values())))
+
+    print("Dict items:")
+    for k, v in d.items():
+        print("  dict key " + k + "=" + str(v))
+
+    print("Pop last item:", d.popitem())
+    print("Dict after .popitem():", d)
+
+    # Get a shallow copy of a dict. Note the use of .items() to get keys and values
+    new_d = dict(d.items())
+
+    env.exit(0)
+
    +

    Compile and run:

    +
    actonc dicts.act
+./dicts
+
    +

    Output:

    +
    Dict: {"foo":1, "bar":2, "cookie":3}
+len : 3
+item foo: 1
+item foo: 1
+get default value when key nonexistent: DEF_val
+Dict: {"bar":42, "cookie":3}
+Dict keys: ["bar", "cookie"]
+Dict values: [42, 3]
+Dict items:
+  dict key bar=42
+  dict key cookie=3
+Pop last item: ("cookie", 3)
+Dict after .popitem(): {"bar":42}
+
    +

    Tuples

    +

    Source:

    +
    actor main(env):
+    # Items in a tuple can be of different types
+    t = ("foo", 42)
+    # Fields are accessed by their index and using field / attribute selection style:
+    print(t)
+    print(t.0)
+    print(t.1)
+    
+    # Tuples can use named fields
+    nt = (a="bar", b=1337)
+    print(nt)
+    print(nt.a)
+    print(nt.b)
+    
+    r = foo()
+    if r.b:
+        print(r.c)
+
+    env.exit(0)
+    
+def foo() -> (a: str, b: bool, c: int):
+    """A function that returns a tuple with fields name a and b
+    """
+    return (a = "hello", b=True, c=123)
+
    +

    Compile and run:

    +
    actonc sets.act
+./sets
+
    +

    Output:

    +
    ('foo', 42)
+foo
+42
+('bar', 1337)
+bar
+1337
+123
+
    +
      +
    • fields in a tuple can be of different types
      • +
    • tuples have a fixed fields
      • +
    • tuples with named fields is like an anonymous data class, i.e. the data type itself has no name
      • +
    • tuples with named fields can be used like a simple record type
      • +
    +

    Sets

    +

    Source:

    +
    actor main(env):
+    # set syntax is similar to dicts using {} but without keys
+    s = {"foo", "bar"}
+
+    # Although for an empty set, {} cannot be used as it means an empty dict
+    # (and it is impossible to distinguish between the two from syntax alone).
+    # Use set() to create an empty set.
+    empty_set = set()
+
+    print("Set content:", s)
+    if "foo" in s:
+        print("'foo' is in the set")
+    if "a" not in s:
+        print("'a' is not in the set")
+
+    # Adding an item that is already in the set does nothing
+    s.add("foo")
+    print("Set without duplicate 'foo':", s)
+    s.add("a")
+    print("Set after adding 'a':", s)
+    if "a" in s:
+        print("'a' is in the set now")
+    print("Entries in set:", len(s))
+    s.discard("foo")
+    print("Set after discarding 'foo':", s)
+    
+    # Add all items from another set or some other iterable
+    s.update({"x", "y", "z"})
+    print(s)
+
+    env.exit(0)
+
    +

    Compile and run:

    +
    acton sets.act
+./sets
+
    +

    Output:

    +
    Building project in /home/user/foo
+  Compiling example.act for release
+   Finished compilation in   0.032 s
+  Final compilation step
+   Finished final compilation step in   0.701 s
+Set content: {'bar', 'foo'}
+'foo' is in the set
+'a' is not in the set
+Set without duplicate 'foo': {'bar', 'foo'}
+Set after adding 'a': {'bar', 'a', 'foo'}
+'a' is in the set now
+Entries in set: 3
+Set after discarding 'foo': {'bar', 'a'}
+{'x', 'bar', 'a', 'y', 'z'}
+
    +

    Functions

    +

    Functions are declared using the def keyword.

    +

    Use return foo to return variable foo. If no return keyword is used or a lone return without argument is given, the function will return None.

    +

    Source:

    +
    def multiply(a, b):
+    print("Multiplying", a, "with", b)
+    return a*b
+    
+actor main(env):
+    result = multiply(3, 4)
+    print("Result:", result)
+    env.exit(0)
+
    +

    Output:

    +
    Multiplying 3 with 4
+Result: 12
+
    +

    Actor methods

    +

    Actor methods are declared under an actor using the def keyword.

    +

    An actor method runs in the context of the actor and can access its private state. As Actors are sequential processes, calling other methods on the local actor or any function is going to be run sequentially.

    +

    Calling an actor method on the local actor can be done simply by calling it by its name, without any prefix such as self..

    +

    All actor methods are public. Call a method on another actor by calling actor_name.method_name(). Calling methods on other actors can be done synchronously or asynchronously.

    +

    Source:

    +
    
+def multiply(a, b):
+    print("Multiplying", a, "with", b)
+    return a*b
+    
+actor main(env):
+    var secret = 42
+
+    def compute(a):
+        print("Computing result based on our secret", secret)
+        res = multiply(a, secret)
+        return res
+
+    result = compute(3)
+    print("Result:", result)
+    env.exit(0)
+
    +

    Output:

    +
    Computing result based on our secret 42
+Multiplying 3 with 42
+Result: 126
+
    +

    Higher order functions

    +

    Acton supports higher order functions which means you can pass a function as an argument to another function.

    +

    Source:

    +
    def multiply_with_3(a):
+    print("Multiplying with 3")
+    return 3*a
+
+def multiply_with_42(a):
+    print("Multiplying with 42")
+    return 42*a
+
+def compute(a, fun):
+    """Compute value from a using function fun"""
+    return fun(a)
+    
+actor main(env):
+    print( compute(7, multiply_with_3) )
+    print( compute(7, multiply_with_42) )
+    env.exit(0)
+
    +

    Output:

    +
    Multiplying with 3
+21
+Multiplying with 42
+294
+
    +

    Types

    +

    Every value in Acton is of a certain data type, which tells Acton what kind of data is being specified so it knows how to work with the data. Acton is a statically typed language, which means the type of all values must be known when we compile the program. Unlike many traditional languges like Java or C++, where types must be explicitly stated everywhere, we can write most Acton programs without types. The Acton compiler features a powerful type inferencer which will infer the types used in the program.

    +

    This program does not have any explicit types specified.

    +

    Source:

    +
    def foo(a, b):
+    if a > 4:
+        print(len(b))
+
+actor main(env):
+    i1 = 1234      # inferred type: int
+    s1 = "hello"   # inferred type: str
+    foo(i1, s1)
+
+    env.exit(0)
+
    +

    To see the inferred types of an Acton program, use the --sigs option of the compiler. As the name suggests, this will print out the type signatures for functions, actors and their attributes and methods in the specified Acton module.

    +

    Print type signatures with --sigs:

    +
    actonc types.act --sigs
+
    +

    Output:

    +
    #################################### sigs:
+
+foo : [A(Ord, Number)] => (A, Collection[B]) -> None
+
+actor main (Env):
+    i1 : int
+    s1 : str
+
    +

    Acton implements the Hindley-Milner (HM) type system, which is common in languages with static types, like Haskell and Rust. Acton extends further from HM to support additional features.

    + +

    Explicit types

    +

    It is possible to explicitly specify the types of variables or arguments in a function. The syntax is similar to type hints in Python.

    +

    Source:

    +
    # 'a: int' means the first argument `a` should be of type int
+# 'b: str means the second argument `b` should be of type str
+# The function returns nothing
+def foo(a: int, b: str) -> None:
+    print(a, b)
+    
+# A functions type signature can also be written on a separate line
+bar : (int, str) -> None
+def bar(a, b):
+    print(a, b)
+
+actor main(env):
+    # i1 is explicitly specified as an integer while s1 is a str
+    i1 : int = 1234
+    s1 : str = "hello"
+    foo(i1, s1)
+    bar(i1, s1)
+
+    # The literal value 1234 is an integer, so when we assign it to i2, the
+    # compiler can easily infer that the type of i2 is int. Similarly for s2
+    # since the literal value "hello" is clearly a string
+    i2 = 1234
+    s2 = "hello"
+    foo(i2, s2)
+    bar(i2, s2)
+    
+    env.exit(0)
+
    +

    Compile and run:

    +
    actonc types.act
+./types
+
    +

    Output:

    +
    1234 hello
+1234 hello
+1234 hello
+1234 hello
+
    +

    Try changing the type of i1 or s1 and you will find that the compiler complains that it cannot solve the type constraints of the program.

    +

    Generic Types

    +

    Sometimes we want to be able to work with any type. We call such types generic types. For example, the builtin list type in Acton can store any other type, so we say it is a list of A, where A is a generic type (from the specification in Acton builtins):

    +
    class list[A] (object):
+    ...
+
+    def pop(self, n :?int=-1) -> A:
+        """Pop and return an item from the list"
+
    +

    [A] says A is a generic type. And for example, the pop() function on list returns an element of type A.

    +
    class list[A] (object):
+          ^^^ --- generic types are written here, between []
+                  A is a generic type used in `class list`
+
+    def pop(self, n :?int) -> A:
+                              ^--- list.pop returns an item of type A
+
    +

    Classes and Objects

    +

    Acton supports the object-oriented paradigm, which means that it provides features to create classes and objects, which are instances of classes. Classes are a fundamental concept in an object-oriented world and they allow programmers to create their own data types with their own attributes and methods.

    +

    A class is defined using the class keyword followed by the name of the class. The convention is to use CamelCase for class names.

    +
    class Circle(object):
+    radius: float
+
+    def __init__(self, radius):
+        self.radius = radius
+
+    def diameter(self):
+        return self.radius * 2
+
    +

    Attributes are variables that hold data for an object of a particular class and methods are functions that operate on that data. In the above example, radius is an attribute of the Circle class and diameter() is a method that returns the diameter.

    +

    Class methods must have self as the first argument, which refers to the object instance of the class that the method is called on.

    +

    Creating an object

    +

    A Class is like a blueprint and an object is an instance of such a blueprint. To create an object, or "instantiate", we use the "blueprint" (class), like so:

    +
    circle = Circle(3.14)
+
    +

    Here we create the object circle from the class Circle, passing the parameter 3.14 which will be used to set the radius attribute of the object.

    +
    print(circle.diameter())
+
    +

    And here we print the diameter of the circle by calling the .diameter() method.

    +

    Class Inheritance

    +

    Inheritance is a way of creating a new class from an existing class. The new class is called the derived class and the existing class from which we inherit is called the base class. The derived class inherits all the attributes and methods of the base class. The derived class can extend the base class by adding more attributes or methods. It is also possible to override methods to create more specific functionality.

    +

    We add the area() to Circle to get the area and realize that the unlike the diameter, area is common for all gemetric shapes. Thus we create a base class Shape that defines the area() method, but does not implement it since there is no generic way to compute the area for all shapes. Each concrete class, like Circle and Square, should implement area().

    +

    Source:

    +
    class Shape(object):
+    def area(self) -> float:
+        raise NotImplementedError("This method should be overridden by subclasses")
+
+
+class Circle(Shape):
+    radius: float
+
+    def __init__(self, radius):
+        self.radius = radius
+
+    def diameter(self):
+        return self.radius * 2
+
+    def area(self):
+        return 3.14 * self.radius ** 2
+
+
+class Square(Shape):
+    def __init__(self, side: float):
+        self.side = side
+
+    def area(self) -> float:
+        return self.side ** 2
+
+
+actor main(env):
+    circle = Circle(3.14)
+    square = Square(3.14)
+    print(circle.area() + square.area())
+    env.exit(0)
+
    +

    Inheritance is one of the primary methods, if not the primary method, of structuring programs in the object oriented paradigm.

    +

    Shape is an abstract class because it has no __init__ method.

    +

    Protocols

    +

    Protocols defines functionality in an abstract way that can be implemented by many classes.

    +

    Class and class inheritance is a good tool for structuring data and behavior. However, sometimes there is no clear parent / child relationship between classes, in which case using a protocol might be a more suitable choice.

    +

    Perhaps the simplest example is the Eq protocol, that defines equality between two objects, from the Acton builtins. Classes do not need to have any common inheritance in order to support equality.

    +
    protocol Eq:
+    @staticmethod
+    __eq__       : (Self,Self) -> bool
+
    +

    The __eq__ method takes two arguments, itself and the other object to compare with and returns True or False. Both arguments are of the same type Self, which means we can only compare two objects that are of the same type. It can be any type, as long as its the same type.

    +
    extension Circle (Eq):
+    def __eq__(self, other):
+        return self.radius == other.radius
+
    +

    Protocols allows us to express the requirement for a (generic) type to implement some particular functionality.

    +

    Let's say we have a function that compares two objects.

    +
    def comparator(a, b):
+    print("Things:", a, b)
+    print("Are they equal?", a == b)
+
    +

    We know that a and b must implement the Eq protocol and they must be of the same type. Let's see what the compiler constraint solver says:

    +
    acton --sigs generic.act
+
+
+== sigs: generic ================================
+
+comparator : [A(Eq)] => (a: A, b: A) -> None
+=================================================
+
    +

    The type has been inferred to a generic type A that must implement the Eq protocol, which is written as A(Eq). We can write this explicitly:

    +
    def comparator[A(Eq)](a: A, b: A):
+    print("Things:", a, b)
+    print("Are they equal?", a == b)
+
    +

    Protocol Method Dispatch and Method Resolution Order

    +

    Method dispatch and Method Resolution Order (MRO) is about picking a particular implementation of a method when there are multiple to pick from. For class inheritance, it is pretty straight forward, the method used will always be that of the actual class. For protocols, it is not as simple. Dispatch of methods for protocols is based on the observed type, which can be somewhat surprising.

    +

    Here are two classes, the base class Point and the dervied class Point3D (which inherits from Point). Each implement the Eq protocol.

    +
    class Point(object):
+    def __init__(self, x: int, y: int):
+        self.x = x
+        self.y = y
+
+extension Point (Eq):
+    def __eq__(self, other):
+        return self.x == other.x and self.y == other.y
+
+class Point3D(Point):
+    def __init__(self, x: int, y: int, z: int):
+        self.x = x
+        self.y = y
+        self.z = z
+
+extension Point3D (Eq):
+    def __eq__(self, other):
+        return self.x == other.x and self.y == other.y and self.z == other.z
+
+def comparator(a: Point, b: Point) -> bool:
+    return a == b
+
+actor main(env):
+    # p1 and p2 are actually different in z. If seen as a 2D point, they appear
+    # equal since the x and y values of p1 and p2 are the same
+    p1 = Point3D(1, 2, 3)
+    p2 = Point3D(1, 2, 4)
+
+    # False, because we see p1 and p2 as Point3D objects and thus dispatch the Eq
+    # extension __eq__ method to Point3D which correctly compares x, y and z
+    print(p1 == p2)
+
+    # True, because comparator takes (Point, Point) and thus we see p1 and p2
+    # as Point objects and thus dispatch the Eq extension __eq__ method to Point
+    # which only compares x and y and thus returns True despite the z difference
+    print(comparator(p1, p2))
+
+    env.exit(0)
+
    +

    The comparator function takes arguments of the base class Point type, which means that when dispatching, they will use the Eq protocol of Point rather than that of Point3D. Naive use typically dispatches to the protocol implementation of the derived class, which is what we intuitively want. It's only when we have forced the type to be observed, as here, that we end up with the "wrong" protocol implementation. Note that there are also cases where this is the desired behavior.

    +

    In this particular example, the natural and better solution is to write the comparator function as requiring the Eq type:

    +
    def generic_comparator[A(Eq)](a: A, b: A):
+    return a == b
+
    +

    Another common scenario is when the type has been forced by storing items in a list or dict, which in turn is typed as storing a base class.

    +
    actor main(env):
+    ref_point = Point3D(1, 2, 4)
+    p1 = Point3D(1, 2, 3)
+    p2 = Point3D(1, 2, 4)
+    my_points: list[Point] = [p1, p2]
+    for point in my_points:
+        if point == ref_point:
+            print("Found the reference (compared as Point)", point)
+        if isinstance(point, Point3D) and point == ref_point:
+            print("Found the reference (compared to Point3D)", point)
+
    +

    As shown in the above example, we can force the comparison to use the Eq protocol implemention of Point3D by using isinstance to check and thus coerce the observed type of point to be Point3D.

    +

    Actors

    +

    Actors is a key concept in Acton. Each actor is a small sequential process with its own private state. Actors communicate with each other through messages, in practice by calling methods on other actors or reading their attributes.

    +

    Source:

    +
    # An actor definition
+actor Act(name):
+
+    # Top level code in an actor runs when initializing an actor instance, like
+    # __init__() in Python.
+    print("Starting up actor " + name)
+    
+    def hello():
+        # We can directly access actor arguments, like `name`
+        print("Hello world from " + name)
+
+actor main(env):
+    # Create an actor instance a of Act
+    a = Act("FOO")
+    # Call the actor method hello
+    await async a.hello()
+
+    env.exit(0)
+
    +

    Compile and run:

    +
    actonc actors.act
+./actors
+
    +

    Output:

    +
    No dependencies found, building project
+Building project in /tmp/tmp_nwgl0ik/example
+  Compiling example.act for release
+   Finished compilation in   0.015 s
+  Final compilation step
+   Finished final compilation step in   0.437 s
+Starting up actor FOO
+Hello world from FOO
+
    +

    Root Actor

    +

    Like C has a main() function, Acton has a root actor. To compile a binary executable, there must be a root actor. Per default, if a source (.act) file contains an actor named main, it will be used as the root actor but it can also be specified using the --root argument. While the convention is to call the root actor main, you are free to name it anything.

    +

    Given this Acton program:

    +
    actor main(env):
+    print("Hello World!")
+    env.exit(0)
+
    +

    The following actonc commands will all produce the same output.

    +
    actonc hello.act
+actonc hello.act --root main
+actonc hello.act --root hello.main
+
    +

    The first invocation relies on the default rule of using an actor called main. The second invocation explicitly specifies that we want to use main as the root actor while the third uses a qualified name which includes both the actor name (main) as well as the module name (hello). Using qualified names can be particularly useful when building executable binaries in projects.

    +

    A normal Acton program consists of many actors that are structured in a hierarchical tree. The root actor is at the root of the tree and is responsible for starting all other actors directly or indirectly. The Acton Run Time System (RTS) will bootstrap the root actor.

    +
    rootAB12345
    +

    Any executable Acton program must have a root actor defined. Acton libraries (that are included in an another Acton program), do not need a root actor.

    +

    Lifetime

    +

    The main function in most imperative and functional programming languages start at the top and when they reach the end of the function, the whole program exits. Actors exist as long as another actor has a reference to it and will idle, passively waiting for the next method call. Actors without references will be garbage collected. The root actor of a program will always exist even without other references.

    +

    This means that a simple program like this modified helloworld (the env.exit() call has been removed) will run indefinitely. You need to deliberately tell the run time system to stop the actor world and exit, via env.exit(), in order to exit the program.

    +

    Source:

    +
    actor main(env):
+    print("Hello world!")
+
    +

    Compile and run:

    +
    actonc noexit.act
+
    +

    Output:

    +
    $ ./noexit
+<you will never get your prompt back>
+
    +

    Actor Attributes & Constants

    +

    Actors typically contain some private state. We define variable attributes at the top level in the actor using the var keyword and can then access them from any method within the local actor. Note how self. is not needed. Private variables are not visible from other actors.

    +

    Source:

    +
    actor Act():
+    var something = 40  # private actor variable attribute
+    fixed = 1234        # public constant
+    
+    def hello():
+        # We can access local actor variable attributes directly, no need for 
+        # self.something or similar
+        something += 2
+        print("Hello, I'm Act & value of 'something' is: " + str(something))
+
+actor main(env):
+    actor1 = Act()
+    await async actor1.hello()
+    print("Externally visible constant: ", actor1.fixed)
+    # This would give an error, try uncommenting it
+    # print(actor1.something)
+
+    env.exit(0)
+
    +

    Compile and run:

    +
    actonc attrs.act
+
    +

    Output:

    +
    Hello, I'm Act & value of 'something' is: 42
+Externally visible constant:  1234
+
    +

    Without the var keyword, an actor attribute is a constant. As constants are not mutable, it is safe to make it visible to other actors and it can be accessed like an attribute on an object.

    +

    Actor concurrency

    +

    Multiple actors run concurrently. In this example we can see how the two actors Foo and Bar run concurrently. The main actor is also running concurrently, although it doesn't do anything beyond creating the Foo and Bar actors and exiting after some time.

    +

    Source:

    +
    actor Counter(name):
+    var counter = 0
+
+    def periodic():
+        print("I am " + name + " and I have counted to " + str(counter))
+        counter += 1
+
+        # 'after 1' tells the run time system to schedule the specified
+        # function, in this case periodic(), i.e. ourselves, after 1 second
+        after 1: periodic()
+
+    # First invocation of periodic()
+    periodic()
+
+
+actor main(env):
+    # Create two instances of the Counter actor, each with a unique name
+    foo = Counter("Foo")
+    bar = Counter("Bar")
+    
+    def exit():
+        env.exit(0)
+
+    # exit the whole program after 10 seconds
+    after 10: exit()
+
    +

    Compile and run:

    +
    actonc concurrency.act
+./concurrency
+
    +

    Output:

    +
    I am Foo and I have counted to 0
+I am Bar and I have counted to 0
+I am Foo and I have counted to 1
+I am Bar and I have counted to 1
+I am Foo and I have counted to 2
+I am Bar and I have counted to 2
+I am Foo and I have counted to 3
+I am Bar and I have counted to 3
+I am Foo and I have counted to 4
+I am Bar and I have counted to 4
+I am Bar and I have counted to 5
+I am Foo and I have counted to 5
+I am Bar and I have counted to 6
+I am Foo and I have counted to 6
+I am Bar and I have counted to 7
+I am Foo and I have counted to 7
+I am Foo and I have counted to 8
+I am Bar and I have counted to 8
+I am Foo and I have counted to 9
+I am Bar and I have counted to 9
+
    +

    Sync Method calls

    +

    While async is good for performance it makes it somewhat convoluted, forcing use of callbacks, to just return a value. Acton makes it possible to call other actors in a synchronous fashion for ease of use.

    +

    A method is called synchronously when the return value is used.

    +

    Source:

    +
    import acton.rts
+
+actor DeepT():
+    def compute():
+        # some heavy computation going on
+        acton.rts.sleep(1)
+        return 42
+
+actor main(env):
+    d1 = DeepT()
+
+    answer = d1.compute()
+    print("The answer is", answer)
+
+    env.exit(0)
+
    +

    Compile and run:

    +
    actonc sync.act
+
    +

    Output:

    +
    The answer is 42
+
    +

    The call flow can be illustrated like this. We can see how the execution of main is suspended while it is waiting for the return value from actor d1.

    +
    maind1
    +

    While synchronous is bad because we block waiting for someone else, we are only ever going to wait for another actor to run its method. There is never any wait for I/O or other indefinite waiting, only blocking wait for computation within the Acton system. This is achieved by the lack of blocking calls for I/O, thus even if there is a chain of actors waiting for each other

    +

    Async Method calls

    +

    As actors are sequential programs and can only do one thing at a time, it is important not to spend time waiting in a blocking fashion. Acton leverages asynchronous style programming to allow actors to react and run only when necessary. Async is at the core of Acton!

    +

    A method is called asynchronously when the return value is not used.

    +

    Source:

    +
    
+def nsieve(n: int):
+    """Sieve of Erathostenes to find primes up to n
+    """
+    count = 0
+    flags = [True] * n
+    for i in range(2, n, 1):
+        if flags[i]:
+            count += 1
+            for j in range(i, n, i):
+                flags[j] = False
+    return count
+
+actor Simon(idx):
+    def say(msg, n):
+        # Simon likes to compute primes and will tell you how many there are under a given number
+        count = nsieve(n)
+        print("Simon%d says: %s.... oh and there are %d primes under %d" % (idx, msg, count, n))
+
+actor main(env):
+    s1 = Simon(1)
+    s2 = Simon(2)
+
+    s1.say("foo", 1000000)
+    s2.say("bar", 5)
+
+    def exit():
+        env.exit(0)
+    after 0.2: exit()
+
    +

    Compile and run:

    +
    actonc async.act
+
    +

    Output:

    +
    Simon2 says: bar.... oh and there are 2 primes under 5
+Simon1 says: foo.... oh and there are 78498 primes under 1000000
+
    +

    A method call like s1.say("foo", 100000) does not use the return value of and is thus called asynchronously. We ask s1 to compute primes under 1000000 while s2 only gets to compute primes up to 5 which will invariably run faster. Thus, s2 despite being called after s1, will print out its result before s1. The s1 and s2 actors are called asynchronously and are executed concurrently and in parallel.

    +

    The call flow can be illustrated like this. We can see how main asynchronously calls s1 and s2 that will be scheduled to run concurrently. The run time system (RTS) will run s1.say() and s2.say() in parallel if there are 2 worker threads available. Per default, there are as many worker threads as available CPU threads.

    +
    mains2s1after2
    +

    In addition we see how the call to after 2 schedules the main actor to run again after 2 seconds, specifically it will run the main.exit() method, which in turn exists the whole program.

    +

    Cleanup / Finalization

    +

    It is possible to run special code when an actor is about to be garbage collected. This should not be performed by normal actors, this is really only for I/O actors that interact with the environment and might need to also clean up in the environment when the actor is being garbage collected.

    +

    Define an actor action called __cleanup__ and the run time system will automatically install it to be run at garbage collection time. There is no hard guarantee when the __cleanup__ function will be called and it typically takes a couple of collection rounds to run all finalizers.

    +

    Source:

    +
    actor Foo():
+    action def __cleanup__():
+        print("Cleaning up after myself...")
+
+actor main(env):
+    # create a bunch of actors and do not assign reference, so they should be collected
+    for i in range(20):
+        Foo()
+
+    # perform some busy work to eventually trigger the GC and thus finalization
+    # & schedule __cleanup__
+    a = 1
+    for i in range(99999):
+        a += i
+
+    # Delay exit a little bit to let RTS workers pick up the asynchronously
+    # scheduled __cleanup__ actions to run for the unreachable instances of the
+    # Foo actor
+    def _stop():
+        env.exit(0)
+    after 0.1: _stop()
+
    +

    Output:

    +
    Cleaning up after myself...
+Cleaning up after myself...
+Cleaning up after myself...
+Cleaning up after myself...
+Cleaning up after myself...
+Cleaning up after myself...
+Cleaning up after myself...
+Cleaning up after myself...
+Cleaning up after myself...
+Cleaning up after myself...
+Cleaning up after myself...
+Cleaning up after myself...
+Cleaning up after myself...
+Cleaning up after myself...
+Cleaning up after myself...
+Cleaning up after myself...
+Cleaning up after myself...
+Cleaning up after myself...
+Cleaning up after myself...
+Cleaning up after myself...
+
    +

    Control flow

    +

    A crucial part in any imperative program is to control the flow of execution. Acton supports a number of different constructs for this:

    + +

    Control flow in an async actor world

    +

    The basic control flow of most programming languages involve a starting point, like a main function, which is run from top to bottom, after which the program implicitly terminates. The basic objective is to feed instructions to the CPU and this goal remains through increasing levels of abstractions. Acton is different. Once created, an actor will simply remain indefinitely, waiting for incoming messages in the form of actor method calls. See Actor Lifetime.

    +

    A mental model of actors

    +

    Actors in an Acton program form a vast web of interconnected actors. Some actors are on the edge of the Acton realm, bordering to the external world where they may be doing I/O with external entities, through files, sockets or other means. All I/O is callback based and thus event driven and reactive. When there is an event, an actors reacts, perhaps initiating calls to other actors. A ripple runs across the web of actors, each reacting to incoming messages and acting accordingly.

    +

    if / elif / else

    +

    Acton supports the if / elif / else construct - the corner stone of programming control flow.

    +

    The conditionals evaluated by if / elif / else are expressions.

    +

    Source:

    +
    
+def whatnum(n):
+
+    if n < 0:
+        print(n, "is negative")
+    elif n > 0:
+        print(n, "is positive")
+    else:
+        print(n, "is zero")
+
+
+def inrange(n):
+    if n < 10 and n > 5:
+        print(n, "is between 5 and 10")
+    else:
+        print(n, "is outside of the range 5-10")
+
+actor main(env):
+
+    whatnum(5)
+    whatnum(1337)
+    whatnum(-7)
+    whatnum(0)
+    
+    inrange(3)
+    inrange(-7)
+    inrange(7)
+
+    env.exit(0)
+
    +

    Compile and run:

    +
    actonc if_else.act
+
    +

    Note that the output is random and you could get a different result.

    +

    Output:

    +
    5 is positive
+1337 is positive
+-7 is negative
+0 is zero
+3 is outside of the range 5-10
+-7 is outside of the range 5-10
+7 is between 5 and 10
+
    +

    for

    +

    Iteration is a core concept in programming and for loops are perhaps the most well known.

    +

    Acton supports the for in construct to iterate through an Iterator.

    +

    Source:

    +
    
+actor main(env):
+
+    for n in range(1, 100, 1):
+        if n % 15 == 0:
+            print("fizzbuzz")
+        elif n % 3 == 0:
+            print("fizz")
+        elif n % 5 == 0:
+            print("buzz")
+        else:
+            print(n)
+
+    env.exit(0)
+
    +

    Compile and run:

    +
    actonc while.act
+
    +

    Note that the output is random and you could get a different result.

    +

    Output:

    +
    1
+2
+fizz
+4
+buzz
+fizz
+7
+8
+fizz
+buzz
+11
+fizz
+13
+14
+fizzbuzz
+16
+17
+fizz
+19
+buzz
+fizz
+22
+23
+fizz
+buzz
+26
+fizz
+28
+29
+fizzbuzz
+31
+32
+fizz
+34
+buzz
+fizz
+37
+38
+fizz
+buzz
+41
+fizz
+43
+44
+fizzbuzz
+46
+47
+fizz
+49
+buzz
+fizz
+52
+53
+fizz
+buzz
+56
+fizz
+58
+59
+fizzbuzz
+61
+62
+fizz
+64
+buzz
+fizz
+67
+68
+fizz
+buzz
+71
+fizz
+73
+74
+fizzbuzz
+76
+77
+fizz
+79
+buzz
+fizz
+82
+83
+fizz
+buzz
+86
+fizz
+88
+89
+fizzbuzz
+91
+92
+fizz
+94
+buzz
+fizz
+97
+98
+fizz
+
    +

    while

    +

    The while construct can be used to run a loop while a condition is true.

    +

    Source:

    +
    import random
+
+def throw_dice():
+    number = random.randint(1,6)
+    print("Dice:", number)
+    return number
+
+actor main(env):
+    var luck = True
+
+    while luck:
+        if throw_dice() == 4:
+            # ran out of luck, nobody likes a 4
+            luck = False
+
+    env.exit(0)
+
    +

    Compile and run:

    +
    actonc while.act
+
    +

    Note that the output is random and you could get a different result.

    +

    Output:

    +
    Dice: 3
+Dice: 1
+Dice: 5
+Dice: 2
+Dice: 4
+
    +

    after and sleep

    +

    In many languages, it is fairly common to use sleep() for things like timeouts, pacing and similar. In Acton, and more generally in async actor based languages, sleeping is frowned upon and often not even available.

    +

    The idiomatic control pattern in Acton is using after, like after 42.1337: foo(). This tells the run time system (RTS) to schedule the execution of the foo() function after 42.1337 seconds. Meanwhile, other methods on the actor can be invoked.

    +

    Source:

    +
    import time
+
+"""Pace the sending of messages to once a second
+"""
+
+actor Receiver():
+    def recv(msg):
+        print("At " + str(time.now()) + ", I received a message:", msg)
+
+actor main(env):
+    var i = 0
+    r = Receiver()
+
+    def send_msg():
+        # Send a message, increment i
+        r.recv("Hello " + str(i))
+        i += 1
+
+        # ... and reschedule execution of ourselves in 1 second
+        after 1: send_msg()
+        
+        # Exit after awhile
+        if i > 4:
+            env.exit(0)
+        
+    # Kick off the whole thing
+    send_msg()
+
    +

    Compile and run:

    +
    actonc after_pace.md
+
    +

    Since the output includes time, you will naturally get a slightly different result if you run this.

    +

    Output:

    +
    At 2023-05-16T10:08:59.135806428+02, I received a message: Hello 0
+At 2023-05-16T10:09:00.136484032+02, I received a message: Hello 1
+At 2023-05-16T10:09:01.135585727+02, I received a message: Hello 2
+At 2023-05-16T10:09:02.135695030+02, I received a message: Hello 3
+At 2023-05-16T10:09:03.135811176+02, I received a message: Hello 4
+
    +

    There is in fact a sleep function in Acton, hidden away in the acton.rts module. Do NOT use it! It is intended only for debugging of the RTS itself and will probably disappear from the standard library before 1.0. Despite it, we consider the language to not have a sleep.

    +

    Actors should either be actively processing or at rest. Conceptually, a sleep is an active wait, in the sense that the RTS will just sit there waiting for the sleep to finish, it is blocked, while it really could process something else in between, like run a different actor method continuation. Similarly, the actor itself could have had other methods on it invoked instead of being actively blocked on a sleep. Being blocked is very bad, which is why all I/O is asynchronous in Acton and why there is no sleep.

    +

    sleep is evil, use after!

    +

    Security

    +

    Security is an important part of application development and is best considered throughout the entire design and development time of an application rather than as an bolted-on after-thought.

    +

    In Acton, the separation of actors offers the primary means of security. Access to actors (like being able to call their methods) requires a reference to the relevant actor. Anyone with a reference can access the actor in question. It is not possible to forge a reference.

    +

    This is similar to the object capability (OCAP) model.

    +

    Since there are no global variables, the only reachable state is local to an actor or reachable via a reference to another actor. This means you cannot reach something out of thin air. You have to be explicitly passed a reference to anything you need to access.

    +

    The security model based on capability references extends for accessing the world outside of the Acton system.

    +
    actor Foo():
+    def foo():
+        print("foofoo")
+    
+actor Bar():
+    # Without a reference to f we cannot call its foo() function
+    
+actor main(env):
+    f = Foo()
+    f.foo()
+    b = Bar()
+
    +

    Capabilities to access outside world

    +

    Any interesting program will need to interact with the outside world, like accessing the network or reading files. In C and many other languages, it is possible for any function at any time to simply make calls and access the external world, like read a file (maybe your private SSH key and send it over the network). Acton makes all such access to the outside world explicit through capability references.

    +

    In an Acton program, having a reference to an actor gives you the ability to do something with that actor. Without a reference, it is impossible to access an actor and it is not possible to forge a reference. This provides a simple and effective security model that also extends to accessing things outside of the Acton system, like files or remote hosts over the network.

    +

    Things outside of the actor world are represented by actors and to access such actors, a capability reference is required. For example, we can use TCPConnection to connect to a remote host over the network using TCP. The first argument is of the type TCPConnectCap, which is the capability of using a TCP socket to connect to a remote host. This is enforced by the Acton type system. Not having the correct capability reference will lead to a compilation error.

    +

    TCPConnectCap is part of a capability hierarchy, starting with the generic WorldCap and becoming further and further restricted:

    +
    +

    WorldCap >> NetCap >> TCPCap >> TCPConnectCap

    +
    +

    The root actor (typically main()) takes as its first argument a reference to Env, the environment actor. env.cap is WorldCap, the root capability for accessing the outside world.

    +
    import net
+
+actor main(env):
+
+    def on_connect(c):
+        c.close()
+
+    def on_receive(c, data):
+        pass
+
+    def on_error(c, msg):
+        print("Client ERR", msg)
+
+    connect_cap = net.TCPConnectCap(net.TCPCap(net.NetCap(env.cap)))
+    client = net.TCPConnection(connect_cap, env.argv[1], int(env.argv[2]), on_connect, on_receive, on_error)
+
    +

    Capability based privilege restriction prevent some deeply nested part of a program, perhaps in a dependency to a dependency, to perform operations unknown to the application author. Access to capabilities must be explicitly handed out and a program can only perform operations based on the capabilities it has access to.

    +

    Restrict and delegate

    +

    Functions and methods taking a Cap argument normally takes the most restricted or refined capability. In the example with setting up a TCP connection, it is the TCPConnectCap capability we need, which is the most restricted.

    +

    Rather than handing over WorldCap to a function, consider what capabilities that function actually needs and only provide those. If a library asks for wider capabilities than it needs, do not use it.

    +

    Capability friendly interfaces

    +

    As a library author, you should only require precisely the capabilities that the library requires. Do not be lazy and require WorldCap. If the library offers multiple functionalities, for example logging to files or to a remote host, strive to make parts optional such that it the application developer and choose to only use a subset and only provide the capability required for that subset.

    +

    Environment

    +

    The environment of an Acton application is the outside world. Any useful application typically needs to interact with the environment in some way, like reading arguments or taking input from stdin and printing output.

    +

    Environment variables

    +

    It is possible to read, set and unset environment variables. The standard functions env.getenv, env.setenv and env.unsetenv all assume str input and output, which is a convenience based on the assumption that all data is encoded using UTF-8. POSIX systems really use binary encoding for both environment names and variables. To access the environment as bytes and handle decoding explicitly, use env.getenvb, env.setenvb and env.unsetenvb.

    +

    Source:

    +
    actor main(env):
+    env_user = env.getenv("USER")
+    if env_user is not None:
+        print("User:", env_user)
+    env.setenv("FOO", "bar")
+    env.unsetenv("LANG")
+    foo_env = env.getenv("FOO")
+    if foo_env is not None:
+        print("FOO:", foo_env)
+    env.exit(0)
+
    +

    Output:

    +
    User: myuser
+FOO: bar
+
    +

    Reading stdin input

    +

    Read input from stdin by installing a handler for stdin data. The returned data is str

    +
    actor main(env):
+    def interact(input):
+        print("Got some input:", input)
+        
+    env.stdin_install(interact)
+
    +

    It is possible to specify the encoding and an on_error() callback which is invoked if there are problem with decoding the data. When encoding is not specified (default None), an attempt is made to discover the encoding by reading the LANG environment variable. If no encoding is discovered, the default is to use utf-8.

    +
    actor main(env):
+    def interact(input):
+        print("Got some input:", input)
+        
+    def on_stdin_error(err, data):
+        print("Some error with decoding the input data:", err)
+        print("Raw bytes data:", data)
+        
+    env.stdin_install(on_stdin=interact, encoding="utf-8", on_error=on_stdin_error)
+
    +

    You can read the raw data in bytes form by installing a bytes handler instead:

    +
    actor main(env):
+    def interact(bytes_input):
+        # Note how the input might contain parts (some bytes) of a multi-byte
+        # Unicode character in which case decoding will fail
+        print("Got some input:", bytes_input.decode())
+        
+    env.stdin_install(on_stdin_bytes=interact)
+
    +

    This allows reading binary data and more explicit control over how to decode the data.

    +

    Interactive stdin

    +

    For interactive programs, like a text editor, input is not fed into the program +line by line, rather the program can react on individual key strokes.

    +

    The default stdin mode is the canonical mode, which implies line buffering and +that there are typically line editing capabilities offered that are implemented +external to the Acton program. By setting stdin in non-canonical mode we can +instead get the raw key strokes directly fed to us.

    +
    actor main(env):
+    def interact(input):
+        print("Got some input:", input)
+
+    # Set non-canonical mode, so we get each key stroke directly
+    env.set_stdin(canonical=False)
+    # Turn off terminal echo
+    env.set_stdin(echo=False)
+    env.stdin_install(interact)
+
    +

    We can also disable the echo mode with the echo option.

    +

    The Acton run time system will copy the stdin terminal settings on startup and +restore them on exit, so you do not need to manually restore terminal echo for +example.

    +

    Modules

    +

    Acton modules can be used to hierarchically structure programs by splitting code into smaller logical units (modules).

    +

    Import modules by using the import keyword. The module will be available with its fully qualified name.

    +

    Use from .. import to import a single function from a module.

    +

    Functions and modules can be aliased using the as keyword.

    +
    import time
+import time as timmy
+from time import now
+from time import now as rightnow
+
+actor main(env):
+    time.now()         # using the fully qualified name
+    timmy.now()        # using aliased module name
+    now()              # using the directly imported function
+    rightnow()         # using function alias
+
+    env.exit(0)
+
    +

    Remember, all state in an Acton program must be held by actors. There can be no mutable variables in an Acton module, only constants! Similarly, there can be no global instantiation code in a module.

    +

    Standard library

    +

    Regular expressions

    +

    Source:

    +
    import re
+
+actor main(env):
+    m = re.match(r"(foo[a-z]+)", "bla bla foobar abc123")
+    if m is not None:
+        print("Got a match:", m.group[1])
+
+    env.exit(0)
+
    +

    Output:

    +
    Got a match: foobar
+
    +

    Testing

    +

    Testing your code is a really good idea! While Acton's type system allows interfaces to be precisely defined, it is imperative that the behavior of a function or actor is tested!

    +

    Test functions are automatically discovered by the compiler. Run tests with acton test. Import the testing module and name your test functions starting with _test. The type signature should match the test intended test category. Use the assertion functions available in the testing module. Here is a simple unit test:

    +

    Source:

    +
    import testing
+
+def _test_simple():
+    testing.assertEqual(1, 1)
+
    +

    Run:

    +
    acton test
+
    +

    Output:

    +
    Building project in /home/user/foo
+  Compiling example.act for release
+   Finished compilation in   0.016 s
+  Final compilation step
+   Finished final compilation step in   0.437 s
+
+Tests - module example:
+  simple:                OK: 1523 runs in 50.001ms
+
+All 1 tests passed (0.604s)
+
+
    +

    There are 4 kinds of tests

    +
      +
    • unit tests +
        +
      • small simple tests of pure functions
        • +
      +
      • +
    • synchronous actor tests +
        +
      • involving one or more actors, returning results synchronously
        • +
      +
      • +
    • asynchronous actor tests +
        +
      • involving actors but use asynchronous callbacks for return values
        • +
      +
      • +
    • environment tests +
        +
      • similar to async actor test in that a callback is used for the return value
        • +
      • these tests have access to the full environment via the env argument and can thus communicate with the outside world +
          +
        • this is a source of non-determinism so be mindful of this and try to avoid non-deterministic functions to the largest degree possible
          • +
        +
        • +
      +
      • +
    +

    When possible, strive to use unit tests rather than actor based tests and strive to avoid env tests.

    +

    Unit tests

    +

    Source:

    +
    import testing
+
+def _test_simple():
+    foo = 3+4
+    testing.assertEqual(7, foo)
+
    +

    Run:

    +
    acton test
+
    +

    Output:

    +
    Building project in /home/user/foo
+  Compiling example.act for release
+   Finished compilation in   0.016 s
+  Final compilation step
+   Finished final compilation step in   0.442 s
+
+Tests - module example:
+  simple:                OK: 1565 runs in 50.079ms
+
+All 1 tests passed (0.600s)
+
+
    +

    Unit tests are a good starting point for testing small units of your program. Pure functions are deterministic and are thus preferable for tests over non-deterministic tests using actors. You are limited in what you can do though, since all called functions must be pure.

    +

    The test discovery finds unit tests based on the name starting with _test_ and has a function signature of mut() -> None or pure() -> None.

    +
    +
    +
    +

    Note

    +
    + +
    +
    +

    Once effect analysis has been improved in the compiler to contain scope local effects, the test discovery will only consider pure functions to be unit tests. See https://github.com/actonlang/acton/issues/1632

    +
    +
    +

    Sync actor tests

    +

    Source:

    +
    import logging
+import testing
+
+actor MathTester():
+    def add(a, b):
+        return a + b
+
+actor SyncTester(log_handler):
+    def test():
+        m = MathTester()
+        testing.assertEqual(m.add(1, 2), 3, "1 + 2 = 3")
+
+def _test_syncact(log_handler: logging.Handler) -> None:
+    """A test using actors and synchronous control flow"""
+    # We make use of an actor as the central point for running our test logic.
+    # This _test_syncact function is just a wrapper picked up by the acton
+    # test framework runner
+    s = SyncTester(log_handler)
+    return s.test()
+
    +

    Run:

    +
    acton test
+
    +

    Output:

    +
    Building project in /home/user/foo
+  Compiling example.act for release
+   Finished compilation in   0.027 s
+  Final compilation step
+   Finished final compilation step in   0.526 s
+
+Tests - module example:
+  syncact:               OK: 1175 runs in 50.005ms
+
+All 1 tests passed (0.655s)
+
+
    +

    Since the Acton RTS is multi-threaded and actors are scheduled concurrently on worker threads, using actors imply a degree of non-determinism and so unlike unit tests, which are completely deterministic, actors tests are fundamentally non-deterministic. You can still write deterministic tests as long as you pay attention to how you construct your test results.

    +

    For example, actor A might be scheduled before or after actor B so if the test relies on ordering of the output, it could fail or succeed intermittently. Interacting with the surrounding environment by reading files or communicating over the network introduces even more sources of non-determinism. Avoid it if you can.

    +

    The test discovery finds synchronous actor tests based on the name starting with _test_ and has a function signature of mut(logging.Handler) -> None or pure(logging.Handler) -> None.

    +

    Async actor tests

    +

    Source:

    +
    import logging
+import testing
+
+actor MathTester():
+    def add(a, b):
+        return a + b
+
+actor AsyncTester(report_result, log_handler):
+    log = logging.Logger(log_handler)
+    def test():
+        log.info("AsyncTester.test()", None)
+        report_result(True, None)
+
+def _test_asyncact1(report_result: action(?bool, ?Exception) -> None, log_handler: logging.Handler) -> None:
+    """A test using actors and asynchronous control flow"""
+    # We make use of an actor as the central point for running our test logic.
+    # This _test_asyncact function is just a wrapper picked up by the acton
+    # test framework runner
+    s = AsyncTester(report_result, log_handler)
+    s.test()
+
    +

    Run:

    +
    acton test
+
    +

    Output:

    +
    Building project in /home/user/foo
+  Compiling example.act for release
+   Finished compilation in   0.028 s
+  Final compilation step
+   Finished final compilation step in   0.516 s
+
+Tests - module example:
+  asyncact1:             OK: 1171 runs in 56.181ms
+
+All 1 tests passed (0.695s)
+
+
    +

    If a particular module is written to be called asynchronously, you will need to use asynchronous tests to test it.

    +

    The test discovery finds asynchronous actor tests based on the name starting with _test_ and has a function signature of proc(action(?bool, ?Exception) -> None, logging.Handler) -> None.

    +

    Env tests

    +

    When you need to test functionality that accesses the environment, you need an env test. Do beware of errors related to test setup though, since you now depend on the external environment. TCP ports that you try to listen to might be already taken. Files that you assume exist might not be there.

    +

    Source:

    +
    import logging
+import testing
+
+actor EnvTester(report_result, env, log_handler):
+    log = logging.Logger(log_handler)
+    def test():
+        log.info("EnvTester.test()", None)
+        report_result(True, None)
+
+def _test_envtest1(report_result: action(?bool, ?Exception) -> None, env: Env, log_handler: logging.Handler) -> None:
+    """A test interacting with the environment"""
+    # We make use of an actor as the central point for running our test logic.
+    # This _test_envtest1 function is just a wrapper picked up by the acton
+    # test framework runner
+    s = EnvTester(report_result, env, log_handler)
+    s.test()
+
    +

    Run:

    +
    acton test
+
    +

    Output:

    +
    Building project in /home/user/foo
+  Compiling example.act for release
+   Finished compilation in   0.023 s
+  Final compilation step
+   Finished final compilation step in   0.484 s
+
+Tests - module example:
+  envtest1:              OK: 1213 runs in 50.135ms
+
+All 1 tests passed (0.689s)
+
+
    +

    The test discovery finds env actor tests based on the name starting with _test_ and has a function signature of proc(action(?bool, ?Exception) -> None, Env, logging.Handler) -> None.

    +

    Failures vs errors

    +

    Tests can have tree different outcomes; success, failure and error.

    +

    Success and failure are the two common cases where success is when the test meets the expected assertions and a failure is when it fails to meet a test assertion like testing.assertEqual(1, 2). We also distinguish a third case for test errors which is when a test does not run as expected, hitting an unexpected exception. This could indicate a design issue or that the test environment is not as expected.

    +

    All test assertions raise exceptions inheriting from AssertionError which are considered test failures. Any other exception will be considered a test error.

    +

    For example, if a test attempts to retrieve https://dummyjson.com/products/1 and check that the returned JSON looks a certain way, it would be a test failure if the returned JSON does not match the expected value. If we try to connect with an invalid URL, like htp:// we would get a different exception and that would be considered a test error. It's probably a bad idea to try to connect to something on the Internet in a test, so avoid that and other sources of non-determinism when possible.

    +

    Unit tests

    +

    Source:

    +
    import random
+import testing
+
+def _test_failure():
+    testing.assertEqual(1, 2)
+
+def _test_flaky():
+    i = random.randint(0, 2)
+    if i == 0:
+        return
+    elif i == 1:
+        testing.assertEqual(1, 2)
+    else:
+        raise ValueError("Random failure")
+
+def _test_error() -> None:
+    # Now we could never use a unit test to fetch things from the Internet
+    # anyway, but it's just to show what the results look like
+    raise ValueError()
+
+
    +

    Run:

    +
    acton test
+
    +

    Output:

    +
    Building project in /home/user/foo
+  Compiling example.act for release
+   Finished compilation in   0.020 s
+  Final compilation step
+   Finished final compilation step in   0.482 s
+
+Tests - module example:
+  error:                 ERR: 454 errors out of  454 runs in 52.733ms
+    ValueError: 
+  flaky:                 FLAKY FAIL: 231 failures out of  471 runs in 52.819ms
+    testing.NotEqualError: Expected equal values but they are non-equal. A: 1 B: 2
+  failure:               FAIL: 408 failures out of  408 runs in 52.837ms
+    testing.NotEqualError: Expected equal values but they are non-equal. A: 1 B: 2
+
+1 error and 2 failure out of 3 tests (0.691s)
+
+
    +

    Unit tests are a good starting point for testing small units of your program. Pure functions are deterministic and are thus preferable for tests over non-deterministic tests using actors. You are limited in what you can do though, since all called functions must be pure.

    +

    Flaky tests

    +

    Flaky tests are those that have different outcomes during different runs, i.e. they are not deterministic. To combat these, acton test will per default attempt to run tests multiple times to ensure that the result is the same. It runs as many test iterations as possible for at least 50ms. If a test is flaky, this will be displayed in the test output.

    +

    Source:

    +
    import random
+import testing
+
+def _test_flaky():
+    i = random.randint(0, 2)
+    if i == 0:
+        return
+    elif i == 1:
+        testing.assertEqual(1, 2)
+    else:
+        raise ValueError("Random failure")
+
    +

    Run:

    +
    acton test
+
    +

    Output:

    +
    Building project in /home/user/foo
+  Compiling example.act for release
+   Finished compilation in   0.017 s
+  Final compilation step
+   Finished final compilation step in   0.453 s
+
+Tests - module example:
+  flaky:                 FLAKY FAIL: 565 failures out of 1140 runs in 50.043ms
+    testing.NotEqualError: Expected equal values but they are non-equal. A: 1 B: 2
+
+1 out of 1 tests failed (0.625s)
+
+
    +
    +
    +
    +

    Note

    +
    + +
    +
    +

    Note how this test case is only made possible because the random module has incorrect effects. The type says it is pure while in reality, it is not. There is an issue to improve this by applying a proper effect to the random module, see https://github.com/actonlang/acton/issues/1729, after which this example needs to be rewritten.

    +
    +
    +

    Performance testing

    +

    It is also possible to run tests in a performance mode, which uses the same basic test definitions (so you can run your tests both as logic test and for performance purposes) but alters the way in which the tests are run. In performance mode, only a single test will be run at a time unlike the normal mode in which many tests are typically run concurrently.

    +

    To get good numbers in performance mode, it's good if test functions run for at least a couple of milliseconds. With very short tests, very small differences lead to very large percentage differences.

    +

    Source:

    +
    import testing
+
+def _test_simple():
+    a = 0
+    for i in range(99999):
+        a += i
+
    +

    Run:

    +
    acton test perf
+
    +

    Output:

    +
    Building project in /home/user/foo
+  Compiling example.act for release
+   Finished compilation in   0.016 s
+  Final compilation step
+   Finished final compilation step in   0.451 s
+
+Tests - module example:
+  simple:                OK:  3.21ms            Avg:  4.20ms             5.11ms             106 runs in 1005.261ms
+
+All 1 tests passed (1.571s)
+
+
    +

    (note that the output is rather wide, scroll horizontally to see the full output)

    +

    Performance comparisons

    +

    When running in performance mode you can record a snapshot of performance using acton test perf --record. A perf_data file is written to disk with the stored performance data. Subsequent test runs will read this file and show a comparison. The difference is displayed as a percentage increase or decrease in time.

    +

    Source:

    +
    import testing
+
+def _test_simple():
+    a = 0
+    for i in range(99999):
+        a += i
+
    +

    Run:

    +
    acton test perf --record
+acton test perf
+
    +

    Output:

    +
    Building project in /home/user/foo
+  Compiling example.act for release
+   Finished compilation in   0.017 s
+  Final compilation step
+   Finished final compilation step in   0.452 s
+
+Tests - module example:
+  simple:                OK:  3.25ms            Avg:  4.16ms             7.38ms             122 runs in 1006.002ms
+
+All 1 tests passed (1.565s)
+
+Building project in /home/user/foo
+  Compiling example.act for release
+   Already up to date, in    0.000 s
+  Final compilation step
+   Finished final compilation step in   0.116 s
+
+Tests - module example:
+  simple:                OK:  3.23ms -0.50%     Avg:  4.17ms +0.19%      6.35ms -13.91%     119 runs in 1001.375ms
+
+All 1 tests passed (1.215s)
+
+
    +

    (note that the output is rather wide, scroll horizontally to see the full output)

    +

    Compilation

    +

    Acton is a compiled language and as such, outputs binary executables. It is possible to influence the compilation process in various ways.

    +

    Optimized for native CPU features

    +

    The default target is somewhat conservative to ensure a reasonable amount of compatibility. On Linux, the default target is GNU Libc version 2.27 which makes it possible to run Acton programs on Ubuntu 18.04 and similar old operating systems. Similarly, a generic x86_64 CPU is assumed which means that newer extra CPU instruction sets are not used.

    +

    To compile an executable optimized for the local computer, use --target native. In many cases it can lead to a significant faster program, often running 30% to 100% faster.

    +

    Statically linked executables using musl for portability

    +

    On Linux, executable programs can be statically linked using the Musl C library, which maximizes portability as there are no runtime dependencies at all.

    +

    To compile an executable optimized for portability using musl on x86_64, use --target x86_64-linux-musl.

    +

    A default compiled program is dynamically linked with GNU libc & friends

    +
    $ actonc helloworld.act
+Building file helloworld.act
+  Compiling helloworld.act for release
+   Finished compilation in   0.013 s
+  Final compilation step
+   Finished final compilation step in   0.224 s
+$ ldd helloworld
+        linux-vdso.so.1 (0x00007fff2975b000)
+        libm.so.6 => /lib/x86_64-linux-gnu/libm.so.6 (0x00007f11f472a000)
+        libpthread.so.0 => /lib/x86_64-linux-gnu/libpthread.so.0 (0x00007f11f4725000)
+        libc.so.6 => /lib/x86_64-linux-gnu/libc.so.6 (0x00007f11f4544000)
+        libdl.so.2 => /lib/x86_64-linux-gnu/libdl.so.2 (0x00007f11f453f000)
+        /lib64/ld-linux-x86-64.so.2 (0x00007f11f4827000)
+$
+
    +

    A program linked statically towards Musl has no run time dependencies:

    +
    $ actonc helloworld.act --target x86_64-linux-musl
+Building file helloworld.act
+  Compiling helloworld.act for release
+   Finished compilation in   0.013 s
+  Final compilation step
+   Finished final compilation step in   0.224 s
+$ ldd helloworld
+        not a dynamic executable
+$
+
    +

    Although untested, static linking with musl should work on other CPU architectures.

    +

    MacOS does not support static compilation.

    +

    Cross-compilation

    +

    Acton supports cross-compilation, which means that it is possible to run develop on one computer, say a Linux computer with an x86-64 CPU but build an executable binary that can run on a MacOS computer.

    +

    Here's such an example. We can see how per default, the output is an ELF binary for x86-64. By setting the --target argument, actonc will instead produce an executable for a Mac.

    +
    $ actonc --quiet helloworld.act
+$ file helloworld
+helloworld: ELF 64-bit LSB executable, x86-64, version 1 (SYSV), dynamically linked, interpreter /lib64/ld-linux-x86-64.so.2, for GNU/Linux 2.0.0, with debug_info, not stripped
+$ actonc --quiet helloworld.act --target x86_64-macos-none
+$ file helloworld
+helloworld: Mach-O 64-bit x86_64 executable, flags:<NOUNDEFS|DYLDLINK|TWOLEVEL|PIE>
+
    +

    It is not only possible to compile for other operating systems, but also for other CPU architectures. For example, use --target aarch64-macos-any to produce a binary executable for an Apple M1/M2 CPU.

    +

    Prebuilt libraries

    +

    Acton ships with prebuilt libraries for the local platforms default target, i.e. if you install Acton on a x86-64 Linux machine, it will have libraries prebuilt for x86_64-linux-gnu.2.27. The default target uses these prebuilt libraries which results in a fast build:

    +
    $ actonc helloworld.act
+Building file helloworld.act
+  Compiling helloworld.act for release
+   Finished compilation in   0.013 s
+  Final compilation step
+   Finished final compilation step in   0.224 s
+$
+
    +

    When targeting something that is not the default target, the entire Acton system, including builtins, the run time system, the standard library and external library dependencies is built from source and can take a significant amount of time. The build process is highly parallelized and cached. For example, on an AMD 5950X with 16 cores / 32 threads, it takes around 7 seconds to do a complete rebuild for a small Acton program as can be seen here:

    +
    $ actonc helloworld.act --target aarch64-macos-none
+Building file helloworld.act
+  Compiling helloworld.act for release
+   Finished compilation in   0.012 s
+  Final compilation step
+   Finished final compilation step in   6.847 s
+$
+
    +

    Build cache

    +

    In an Acton project, there is a build cache, is is stored in a directory called build-cache in the project directory. The cache is always used for the project local files. If a non-default --target is being used, the built output of the Acton system is also stored in the cache, which means that it is only the first time around that it is slow. Any subsequent build is going to use the cache and run very fast. Like in this example, where the first invocation takes 6.120 seconds and the second one runs in 0.068 seconds.

    +
    $ actonc new hello
+Created project hello
+Enter your new project directory with:
+  cd hello
+Compile:
+  actonc build
+Run:
+  ./out/bin/hello
+
+Initialized empty Git repository in /home/kll/hello/.git/
+$ cd hello/
+$ actonc build --target native
+Building project in /home/kll/hello
+  Compiling hello.act for release
+   Finished compilation in   0.012 s
+  Final compilation step
+   Finished final compilation step in   6.120 s
+$ actonc build --target native
+Building project in /home/kll/hello
+  Compiling hello.act for release
+   Already up to date, in    0.000 s
+  Final compilation step
+   Finished final compilation step in   0.068 s
+$
+
    +

    When compiling standalone .act files, there is no project and thus no persistent cache, so using a custom --target will always incur a penalty.

    +

    Package Management

    +

    acton offers integrated package management to declare dependencies on other Acton packages and automatically download them from their sources on the Internet.

    +

    The guiding principle behind Actons package management is to strive for determinism, robustness and safety. This is primarily achieved by only resolving dependencies at design time. That is, it is the developer of a particular Acton package that determines its exact dependencies and not whomever might be downloading and building said package. The very identity of a package at a particular point in time, which can be thought of as the version of a package, is the hash of its content. This is the foundation of Actons package management. Each dependency has a hash of its content. A URL is just one place from which this particular version of a package can be downloaded. The hash of packages is determined and recorded at design time. Anyone pulling down and building dependencies will have the hash verified to ensure a deterministic build.

    +

    There is no central package repository, instead dependencies are defined as URLs from which the dependency package can be downloaded. This is typically a tar.gz file from GitHub, GitLab or similar source hosting site. Again, the very identity of a version of a package is the conten hash. The URL is only from where to get it.

    +

    Acton is statically compiled, all dependencies are fetched and included at compile time. There are no run time dependencies.

    +

    Add Dependency

    +

    Add a dependency to your project by using acton pkg add and providing the URL to the project and a local reference name.

    +

    In this case we add the example foo package as a dependency.

    +
    acton pkg add https://github.com/actonlang/foo/archive/refs/heads/main.zip foo
+
    +

    This will fetch the dependency and add it to the build.act.json file of your local project, resulting in something like:

    +
    {
+    "dependencies": {
+        "foo": {
+            "url": "https://github.com/actonlang/foo/archive/refs/heads/main.zip",
+            "hash": "1220cd47344f8a1e7fe86741c7b0257a63567b4c17ad583bddf690eedd672032abdd"
+        }
+    },
+    "zig_dependencies": {}
+}
+
    +
    +
    +
    +

    Note

    +
    + +
    +
    +

    It is possible to edit build.act.json by hand, but adding dependencies, which requires filling in the 'hash' field requires computing the hash which is somewhat tricky.

    +
    +
    +

    The foo package provides a single foo module with a foo function (that appropriately returns foo). We can now access it from our main actor:

    +
    import foo
+
+actor main(env):
+    print(foo.foo())
+    env.exit(0)
+
    +

    Local Dependencies

    +

    It is possible to use dependencies available via a local file system path by setting the path attribute. Edit build.act.json and add or modify an existing dependency. Set the path attribute to a relative path on the local file system, e.g.:

    +
    {
+    "dependencies": {
+        "foo": {
+            "url": "https://github.com/actonlang/foo/archive/refs/heads/main.zip",
+            "hash": "1220cd47344f8a1e7fe86741c7b0257a63567b4c17ad583bddf690eedd672032abdd",
+            "path": "../foo"
+        },
+        "local_lib": {
+            "path": "deps/local_lib"
+        }
+    },
+    "zig_dependencies": {}
+}
+
    +
    +
    +
    +

    Note

    +
    + +
    +
    +

    Setting a local path will take priority over a remote url. This can be useful to fork a library and make local modifications to it before submitting them back upstream.

    +
    +
    +

    Remove Dependency

    +

    You can remove a dependency from your project with acton pkg remove:

    +
    acton pkg remove foo
+
    +

    Fetch Dependencies / Enable Airplane Mode

    +

    You can fetch all the dependencies of a project by using acton fetch. It will download the dependencies specified in build.act.json to the cache.

    +

    acton fetch enables you to work offline (a.k.a airplane mode).

    +

    C / C++ / Zig dependencies

    +

    Much like dependencies on other Acton packages, an Acton project can depend on a Zig package which could be a C / C++ or Zig library, as long as it has a build.zig file.

    +
      +
    • acton zig-pkg add URL NAME --artifact X --artifact Y +
        +
      • list the libraries you want to link with as artifacts
        • +
      +
      • +
    • acton zig-pkg remove NAME
      • +
    +
    +
    +
    +

    Example

    +
    + +
    +
    +
    acton zig-pkg add https://github.com/allyourcodebase/zlib/archive/refs/tags/1.3.1.tar.gz zlib --artifacts z
+
    +
    {
+    "dependencies": {},
+    "zig_dependencies": {
+        "zlib": {
+            "url": "https://github.com/allyourcodebase/zlib/archive/refs/tags/1.3.1.tar.gz",
+            "hash": "122034ab2a12adf8016ffa76e48b4be3245ffd305193edba4d83058adbcfa749c107",
+            "artifacts": [
+                "z"
+            ]
+        }
+    }
+}
+
    +
    +
    +

    Security and Trust (or the lack thereof)

    +

    Working with Zig / C / C++

    +

    Acton has C ABI compatibility which makes it trivial to call C functions and fairly simply to call Zig and C++ using C wrapping functions. If you want to integrate a library written in one of these languages, this page is for you.

    +

    Regardless of the foreign language used, we need to consider a few things:

    +
      +
    • memory allocation, it must play well with the Acton GC +
        +
      • You can allocate memory via classic malloc or via Acton GC malloc +
          +
        • acton_malloc - normal malloc
          • +
        • acton_malloc_atomic for allocations that are guaranteed to not contain pointers
          • +
        +
        • +
      • Better safe than sorry, use the GC-malloc when in doubt
        • +
      • Always use Acton GC malloc for actor and class attributes and similar +
          +
        • object and actor instances are garbage collected by the GC and there is no destructor function, so if you would have used class malloc there is no good place for the free
          • +
        +
        • +
      • Within pure functions, you can use class malloc - be sure to free the allocations before return of the function, even for error paths
        • +
      +
      • +
    • thread safety, the Acton RTS is threaded and actors are concurrently executed by different threads +
        +
      • in general, we strive to only keep data per actor and since an actor executes sequentially, we do not need thread safety measures like locks - just make sure you don't try to share data between actors "under the hood"
        • +
      • libraries must not use global variables though
        • +
      +
      • +
    • asynchronous I/O, the Acton RTS performs asynchronous I/O and any other library that performs I/O need to conform to this model
      • +
    +

    Integrating a C library (zlib)

    +

    This is a guide to integrating C libraries in Acton code. We will use the zlib compression library, written in C, to build an Acton module that supports zlib compression and decompression.

    +

    We will only focus on the inflate and deflate functions in zlib. They are pure functions (meaning they only take some input and return some output, they do not have any side effects like writing to some shared state), that makes them easier to integrate than anything that does I/O. While zlib does expose functions to interact with files, we don't want to reimplement file related functionality since we already have this supported by the Acton stdlib.

    +

    Create new project

    +

    Let's start by making a new Acton project, let's call it acton-zlib. New projects are created with an example "Hello world" app. Let's remove it and start from scratch.

    +
    acton new acton-zlib
+cd acton-zlib
+rm src/*
+
    +

    Acton's low level build system - the Zig build system

    +

    The Acton compiler parses .act source code, runs through all its compilation passes with type checking, CPS conversion, lambda lifting etc and finally produces C code. Internally, Acton then uses the Zig build system to compile the generated C code to libraries and finally binary executables.

    +

    To add a C library dependency, it first needs to be buildable using the Zig build system, which means that it needs a build.zig file, the config file for the Zig build, somewhat similar to the CMakeLists.txt of CMake. Some projects have already adopted a build.zig in the upstream repo, like PCRE2 and the Boehm-Demers-Weiser GC (both of which are used by Acton). In some cases, there are forks of projects with build.zig added. Otherwise you will need to write one for yourself, which is usually simpler than it might first seem.

    +

    Add the zlib C library as a Zig dependency

    +

    In the case of zlib, there is already a repo available with a build.zig for zlib. Navigate to the Tags page, find 1.3.1 and the link to the source files, i.e. https://github.com/allyourcodebase/zlib/archive/refs/tags/1.3.1.tar.gz.

    +

    Add it to our acton-zlib project:

    +
    acton zig-pkg add https://github.com/allyourcodebase/zlib/archive/refs/tags/1.3.1.tar.gz zlib --artifact z
+
    +

    Note the --artifact z which is provided to instruct which library to link with. Headers from the zlib library, like zlib.h, will now become visible to C files in our project and the z library will be linked in with our executables. The easiest way to discover what the artifacts are called is by inspecting the build.zig file of the package. This particular zlib build.zig starts like this:

    +
    const std = @import("std");
+
+pub fn build(b: *std.Build) void {
+    const upstream = b.dependency("zlib", .{});
+    const lib = b.addStaticLibrary(.{
+        .name = "z",
+        .target = b.standardTargetOptions(.{}),
+        .optimize = b.standardOptimizeOption(.{}),
+    });
+    lib.linkLibC();
+    lib.addCSourceFiles(.{
+        .root = upstream.path(""),
+        .files = &.{
+            "adler32.c",
+            "crc32.c",
+...
+
    +

    It is the .name argument to addStaticLibrary that tells us the name of the artifact. Zig packages might expose multiple such artifacts, as is the case for mbedtls.

    +

    acton zig-pkg add will fetch the package from the provided URL and save the hash sum to build.act.json, resulting in:

    +
    {
+    "dependencies": {},
+    "zig_dependencies": {
+        "zlib": {
+            "url": "https://github.com/allyourcodebase/zlib/archive/refs/tags/1.3.1.tar.gz",
+            "hash": "122034ab2a12adf8016ffa76e48b4be3245ffd305193edba4d83058adbcfa749c107",
+            "artifacts": [
+                "z"
+            ]
+        }
+    }
+}
+
    +

    Create zlib.act Acton module

    +

    Next up we need to create the Acton zlib module. Open src/zlib.act and add a compress and decompress function:

    +
    pure def compress(data: bytes) -> bytes:
+    NotImplemented
+
+pure def decompress(data: bytes) -> bytes:
+    NotImplemented
+
    +

    The NotImplemented statement tells the compiler that the implementation is not written in Acton but rather external. When there is a .ext.c file, the compiler expects it to contain the implementations for the NotImplemented functions. Also note the explicit types. Normally the Acton compiler can infer types, but since there is no Acton code here, only C code, there is nothing to infer from.

    +

    Now create src/zlib.ext.c which is where we will do the actual implementation of these functions. We need to add a __ext_init__ function, which runs on module load by the Acton RTS, which must always exist. There is nothing to do in particular for zlib so let's just create an empty function, like so:

    +
    void zlibQ___ext_init__() {}
+
    +

    Next, we need to fill in the C functions that map to the Acton functions compress and decompress. By invoking acton build we can get the compiler to generate a skeleton for these. We will also get a large error message, since there is no actual implementation:

    +
    user@host$ acton build
+... some large error message
+
    +

    Ignore the error and instead check the content of out/types/zlib.c and we will find the C functions we need, commented out:

    +
    #include "rts/common.h"
+#include "out/types/zlib.h"
+#include "src/zlib.ext.c"
+B_bytes zlibQ_compress (B_bytes data);
+/*
+B_bytes zlibQ_compress (B_bytes data) {
+    // NotImplemented
+}
+*/
+B_bytes zlibQ_decompress (B_bytes data);
+/*
+B_bytes zlibQ_decompress (B_bytes data) {
+    // NotImplemented
+}
+*/
+int zlibQ_done$ = 0;
+void zlibQ___init__ () {
+    if (zlibQ_done$) return;
+    zlibQ_done$ = 1;
+    zlibQ___ext_init__ ();
+}
+
    +

    Copy the commented-out skeleton into our own src/zlib.ext.c. Just in order to get something that compiles, let's just quickly let the functions return the input data. Since both input and output are bytes, this should now compile (and work at run time).

    +
    B_bytes zlibQ_compress (B_bytes data) {
+    return data;
+}
+B_bytes zlibQ_decompress (B_bytes data) {
+    return data;
+}
+
    +
    user@host:~/acton-zlib$ acton build
+Building project in /Users/user/acton-zlib
+  Compiling zlib.act for release
+   Finished compilation in   0.005 s
+  Compiling test_zlib.act for release
+   Finished compilation in   0.019 s
+  Final compilation step
+user@host:~/acton-zlib$
+
    +

    Add a test module

    +

    Before we implement the body of the compress and decompress functions, we can write a small test module which will tell us when we've succeeded. We use some pre-known test data (which we could get from another language implementation):

    +
    import testing
+import zlib
+
+def _test_roundtrip():
+    for x in range(100):
+        i = "hello".encode()
+        c = zlib.compress(i)
+        d = zlib.decompress(c)
+        testing.assertEqual(i, d)
+
+def _test_compress():
+    for x in range(100):
+        i = "hello".encode()
+        c = zlib.compress(i)
+        testing.assertEqual(c, b'x\x9c\xcbH\xcd\xc9\xc9\x07')
+
+def _test_decompress():
+    for x in range(1000):
+        c = b'x\x9c\xcbH\xcd\xc9\xc9\x07'
+        d = zlib.decompress(c)
+        testing.assertEqual(d, b'hello')
+
    +

    Note how we run a few test iterations to get slightly better timing measurements for performance testing. Run the test with acton test:

    +
    user@host:~/acton-zlib$ acton test
+
+Tests - module test_zlib:
+  decompress:            FAIL:  195 runs in 50.728ms
+    testing.NotEqualError: Expected equal values but they are non-equal. A: b'x\x9c\xcbH\xcd\xc9\xc9\x07' B: b'hello'
+  compress:              FAIL:  197 runs in 50.886ms
+    testing.NotEqualError: Expected equal values but they are non-equal. A: b'hello' B: b'x\x9c\xcbH\xcd\xc9\xc9\x07'
+  roundtrip:             OK:  226 runs in 50.890ms
+
+2 out of 3 tests failed (26.354s)
+
+user@host:~/acton-zlib$ 
+
    +

    As expected, the roundtrip test goes through, since we just return the input data while the compress and decompress tests fail.

    +

    Implement the compress function

    +

    Now let's fill in the rest of the owl. Below is the body of the zlibQ_compress function. The bulk of this code is not particularly interesting to this guide as it has more to do with standard C usage of zlib, but a few things are worth noting.

    +
    B_bytes zlibQ_compress(B_bytes data) {
+    if (data->nbytes == 0) {
+        return data;
+    }
+
+    // Prepare the zlib stream
+    int ret;
+    z_stream stream;
+    memset(&stream, 0, sizeof(stream));
+    ret = deflateInit(&stream, Z_DEFAULT_COMPRESSION);
+    if (ret != Z_OK) {
+        $RAISE((B_BaseException)$NEW(B_ValueError, to$str("Unable to compress data, init error: %d", ret)));
+    }
+
+    // Set the input data
+    stream.avail_in = data->nbytes;
+    stream.next_in = (Bytef*)data->str;
+
+    // Allocate the output buffer using Acton's malloc
+    size_t output_size = deflateBound(&stream, data->nbytes);
+    Bytef* output_buffer = (Bytef*)acton_malloc_atomic(output_size);
+    stream.avail_out = output_size;
+    stream.next_out = output_buffer;
+
+    // Perform the deflate operation
+    ret = deflate(&stream, Z_FINISH);
+    if (ret != Z_STREAM_END) {
+        $RAISE((B_BaseException)$NEW(B_ValueError, $FORMAT("Unable to compress data, error: %d", ret)));
+    }
+
+    // Clean up
+    deflateEnd(&stream);
+
+    return actBytesFromCStringNoCopy(output_buffer);
+}
+
    +

    Memory management is always top of mind when writing C, as it the case here. We can allocate memory via the Acton GC-heap malloc or just plain malloc() (the non-GC heap, to be explicit). Since zlibQ_compress is pure, we have no state leaking out of the function other than via its return value. All return values must be allocated on the Acton GC heap, so we know we must use acton_malloc for any value that we return. Any other local variables within the function can use classic malloc, as long as we make sure to explicitly free it up. For class or actor methods, any allocation for class or actor attributes must be performed using the Acton GC malloc, since there is no destructor or similar where a free can be inserted, so using classic malloc would be bound to leak. Also note that in this particular case, we know that the returned bytes value itself is not going to contain any pointers, so by using acton_malloc_atomic we can get a chunk of memory that will not be internally scanned by the GC, which saves a bit of time and thus improves GC performance. If we allocate structs that do carry pointers, they must use the normal acton_malloc().

    +

    actBytesFromCStringNoCopy(output_buffer) takes the buffer (already allocated via acton_malloc_atomic()) and wraps it up as a boxed value of the type B_bytes that we return.

    +

    Also note how we convert Zlib errors to Acton exceptions where necessary.

    +

    Running the test, the compress test now passes while roundtrip has stopped working (since decompress is not implemented yet):

    +
    user@host:~/acton-zlib$ acton test
+Tests - module test_zlib:
+  decompress:            FAIL:  158 runs in 50.175ms
+    testing.NotEqualError: Expected equal values but they are non-equal. A: b'x\x9c\xcbH\xcd\xc9\xc9\x07' B: b'hello'
+  compress:              OK:  167 runs in 50.225ms
+  roundtrip:             FAIL:  147 runs in 50.266ms
+    testing.NotEqualError: Expected equal values but they are non-equal. A: b'hello' B: b'x\x9c\xcbH\xcd\xc9\xc9\x07'
+
+2 out of 3 tests failed (0.941s)
+
+user@host:~/acton-zlib$ 
+
    +

    Implement the decompress function

    +

    Much like the compress function, the decompress function mostly relates to how zlib itself and its interface works. We use the same wrappers and transform errors to exceptions.

    +
    B_bytes zlibQ_decompress(B_bytes data) {
+    if (data->nbytes == 0) {
+        return data;
+    }
+
+    // Prepare the zlib stream
+    int ret;
+    z_stream stream;
+    memset(&stream, 0, sizeof(stream));
+
+    ret = inflateInit(&stream);
+    if (ret != Z_OK) {
+        $RAISE((B_BaseException)$NEW(B_ValueError, $FORMAT("Unable to decompress data, init error: %d", ret)));
+    }
+
+    // Set the input data
+    stream.avail_in = data->nbytes;
+    stream.next_in = (Bytef*)data->str;
+
+    // Allocate the output buffer using Acton's malloc
+    size_t output_size = 2 * data->nbytes; // Initial output buffer size
+    Bytef* output_buffer = (Bytef*)acton_malloc_atomic(output_size);
+    memset(output_buffer, 0, output_size);
+    stream.avail_out = output_size;
+    stream.next_out = output_buffer;
+
+    // Perform the inflate operation, increasing the output buffer size if needed
+    do {
+        ret = inflate(&stream, Z_NO_FLUSH);
+        if (ret == Z_BUF_ERROR) {
+            // Increase the output buffer size and continue decompressing
+            size_t new_output_size = output_size * 2;
+            output_buffer = (Bytef*)acton_realloc(output_buffer, new_output_size);
+            stream.avail_out = new_output_size - stream.total_out;
+            stream.next_out = output_buffer + stream.total_out;
+        } else if (ret != Z_OK) {
+            $RAISE((B_BaseException)$NEW(B_ValueError, $FORMAT("Unable to decompress data, error: %d", ret)));
+        }
+    } while (ret == Z_BUF_ERROR);
+
+    // Clean up
+    inflateEnd(&stream);
+
+    return actBytesFromCStringNoCopy(output_buffer);
+}
+
    +

    Final test

    +
    user@host:~/acton-zlib$ acton test
+
+Tests - module test_zlib:
+  decompress:            OK:   42 runs in 51.065ms
+  compress:              OK:   25 runs in 50.032ms
+  roundtrip:             OK:   24 runs in 50.053ms
+
+All 3 tests passed (0.738s)
+
+user@host:~/acton-zlib$ 
+
    +

    And with that, we're done! A simple wrapper around zlib, which is also available on GitHub if you want to study it further.

    +

    Run Time System

    +

    The Acton Run Time System is what sets up the environment in which an Acton program runs. It performs bootstrapping of the root actor. The worker threads that carry out actual execution of actor continuations are part of the RTS. It is the RTS that handles scheduling of actors and the timer queue. All I/O is handled between modules in the standard library in conjunction with the RTS.

    +

    Arguments

    +

    It is possible to configure the RTS through a number of arguments. All arguments to the RTS start with --rts-. Use --rts-help to see a list of all arguments:

    +
    $ actonc examples/helloworld.act
+Building file examples/helloworld.act
+  Compiling helloworld.act for release
+   Finished compilation in   0.012 s
+  Final compilation step
+   Finished final compilation step in   0.198 s
+$ examples/helloworld --rts-help
+The Acton RTS reads and consumes the following options and arguments. All
+other parameters are passed verbatim to the Acton application. Option
+arguments can be passed either with --rts-option=ARG or --rts-option ARG
+
+  --rts-debug                       RTS debug, requires program to be compiled with --dev
+  --rts-ddb-host=HOST               DDB hostname
+  --rts-ddb-port=PORT               DDB port [32000]
+  --rts-ddb-replication=FACTOR      DDB replication factor [3]
+  --rts-node-id=ID                  RTS node ID
+  --rts-rack-id=RACK                RTS rack ID
+  --rts-dc-id=DATACENTER            RTS datacenter ID
+  --rts-host=RTSHOST                RTS hostname
+  --rts-help                        Show this help
+  --rts-mon-log-path=PATH           Path to RTS mon stats log
+  --rts-mon-log-period=PERIOD       Periodicity of writing RTS mon stats log entry
+  --rts-mon-on-exit                 Print RTS mon stats to stdout on exit
+  --rts-mon-socket-path=PATH        Path to unix socket to expose RTS mon stats
+  --rts-no-bt                       Disable automatic backtrace
+  --rts-log-path=PATH               Path to RTS log
+  --rts-log-stderr                  Log to stderr in addition to log file
+  --rts-verbose                     Enable verbose RTS output
+  --rts-wthreads=COUNT              Number of worker threads [#CPU cores]
+
+$
+
    +

    Worker threads

    +

    Per default, the RTS starts as many worker threads as there are CPU threads available, although at least 4. This is optimized for server style workloads where it is presumed that the Acton program is the sole program consuming considerable resources. When there are 4 and more CPU threads available, the worker threads are pinned to each respective CPU thread.

    +

    It is possible to specify the number of worker threads with --rts-wthreads=COUNT.

    +

    Actor method continuations run to completion, which is why it is wise not to set this value too low. Per default a minimum of 4 threads are started even when there are fewer CPU threads available, which means the operating system will switch between the threads inducing context switching overhead.

    + +
    + + +
    +
    + + + +
    + + + + + + + + + + + + + + + + + + + + +
    + + diff --git a/learn/acton-by-example/projects.html b/learn/acton-by-example/projects.html new file mode 100644 index 0000000..e3e2071 --- /dev/null +++ b/learn/acton-by-example/projects.html @@ -0,0 +1,227 @@ + + + + + + Acton Projects + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    + + + + + + + + + + + + + +
    + +
    + + + + + + + + +
    +
    +

    Acton Projects

    +

    Besides compiling individual .act files, it is possible to organize Acton code into an Acton Project, which is suitable once you have more than one .act source code file.

    +

    Use acton to create a new project called foo:

    +
    acton new foo
+
    +

    Output:

    +
    Created project foo
+Enter your new project directory with:
+  cd foo
+Compile:
+  acton build
+Run:
+  ./out/bin/foo
+
    +

    Description

    +

    Use acton build to build a project. The current working directory must be the project directory or a sub-directory to the project directory. acton will discover all source files and compile them according to dependency order.

    +

    Add a main actor to any source file directly under src/ to produce an executable binary. For example, if src/hello.act contains a main actor, it will produce out/bin/hello using main as the root actor.

    + +
    + + +
    +
    + + + +
    + + + + + + + + + + + + + + + + + + + +
    + + diff --git a/learn/acton-by-example/protocols/dispatch.html b/learn/acton-by-example/protocols/dispatch.html new file mode 100644 index 0000000..408950f --- /dev/null +++ b/learn/acton-by-example/protocols/dispatch.html @@ -0,0 +1,270 @@ + + + + + + Method Dispatch + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    + + + + + + + + + + + + + +
    + +
    + + + + + + + + +
    +
    +

    Protocol Method Dispatch and Method Resolution Order

    +

    Method dispatch and Method Resolution Order (MRO) is about picking a particular implementation of a method when there are multiple to pick from. For class inheritance, it is pretty straight forward, the method used will always be that of the actual class. For protocols, it is not as simple. Dispatch of methods for protocols is based on the observed type, which can be somewhat surprising.

    +

    Here are two classes, the base class Point and the dervied class Point3D (which inherits from Point). Each implement the Eq protocol.

    +
    class Point(object):
+    def __init__(self, x: int, y: int):
+        self.x = x
+        self.y = y
+
+extension Point (Eq):
+    def __eq__(self, other):
+        return self.x == other.x and self.y == other.y
+
+class Point3D(Point):
+    def __init__(self, x: int, y: int, z: int):
+        self.x = x
+        self.y = y
+        self.z = z
+
+extension Point3D (Eq):
+    def __eq__(self, other):
+        return self.x == other.x and self.y == other.y and self.z == other.z
+
+def comparator(a: Point, b: Point) -> bool:
+    return a == b
+
+actor main(env):
+    # p1 and p2 are actually different in z. If seen as a 2D point, they appear
+    # equal since the x and y values of p1 and p2 are the same
+    p1 = Point3D(1, 2, 3)
+    p2 = Point3D(1, 2, 4)
+
+    # False, because we see p1 and p2 as Point3D objects and thus dispatch the Eq
+    # extension __eq__ method to Point3D which correctly compares x, y and z
+    print(p1 == p2)
+
+    # True, because comparator takes (Point, Point) and thus we see p1 and p2
+    # as Point objects and thus dispatch the Eq extension __eq__ method to Point
+    # which only compares x and y and thus returns True despite the z difference
+    print(comparator(p1, p2))
+
+    env.exit(0)
+
    +

    The comparator function takes arguments of the base class Point type, which means that when dispatching, they will use the Eq protocol of Point rather than that of Point3D. Naive use typically dispatches to the protocol implementation of the derived class, which is what we intuitively want. It's only when we have forced the type to be observed, as here, that we end up with the "wrong" protocol implementation. Note that there are also cases where this is the desired behavior.

    +

    In this particular example, the natural and better solution is to write the comparator function as requiring the Eq type:

    +
    def generic_comparator[A(Eq)](a: A, b: A):
+    return a == b
+
    +

    Another common scenario is when the type has been forced by storing items in a list or dict, which in turn is typed as storing a base class.

    +
    actor main(env):
+    ref_point = Point3D(1, 2, 4)
+    p1 = Point3D(1, 2, 3)
+    p2 = Point3D(1, 2, 4)
+    my_points: list[Point] = [p1, p2]
+    for point in my_points:
+        if point == ref_point:
+            print("Found the reference (compared as Point)", point)
+        if isinstance(point, Point3D) and point == ref_point:
+            print("Found the reference (compared to Point3D)", point)
+
    +

    As shown in the above example, we can force the comparison to use the Eq protocol implemention of Point3D by using isinstance to check and thus coerce the observed type of point to be Point3D.

    + +
    + + +
    +
    + + + +
    + + + + + + + + + + + + + + + + + + + +
    + + diff --git a/learn/acton-by-example/protocols/intro.html b/learn/acton-by-example/protocols/intro.html new file mode 100644 index 0000000..8392ae0 --- /dev/null +++ b/learn/acton-by-example/protocols/intro.html @@ -0,0 +1,243 @@ + + + + + + Protocols + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    + + + + + + + + + + + + + +
    + +
    + + + + + + + + +
    +
    +

    Protocols

    +

    Protocols defines functionality in an abstract way that can be implemented by many classes.

    +

    Class and class inheritance is a good tool for structuring data and behavior. However, sometimes there is no clear parent / child relationship between classes, in which case using a protocol might be a more suitable choice.

    +

    Perhaps the simplest example is the Eq protocol, that defines equality between two objects, from the Acton builtins. Classes do not need to have any common inheritance in order to support equality.

    +
    protocol Eq:
+    @staticmethod
+    __eq__       : (Self,Self) -> bool
+
    +

    The __eq__ method takes two arguments, itself and the other object to compare with and returns True or False. Both arguments are of the same type Self, which means we can only compare two objects that are of the same type. It can be any type, as long as its the same type.

    +
    extension Circle (Eq):
+    def __eq__(self, other):
+        return self.radius == other.radius
+
    +

    Protocols allows us to express the requirement for a (generic) type to implement some particular functionality.

    +

    Let's say we have a function that compares two objects.

    +
    def comparator(a, b):
+    print("Things:", a, b)
+    print("Are they equal?", a == b)
+
    +

    We know that a and b must implement the Eq protocol and they must be of the same type. Let's see what the compiler constraint solver says:

    +
    acton --sigs generic.act
+
+
+== sigs: generic ================================
+
+comparator : [A(Eq)] => (a: A, b: A) -> None
+=================================================
+
    +

    The type has been inferred to a generic type A that must implement the Eq protocol, which is written as A(Eq). We can write this explicitly:

    +
    def comparator[A(Eq)](a: A, b: A):
+    print("Things:", a, b)
+    print("Are they equal?", a == b)
+
    + +
    + + +
    +
    + + + +
    + + + + + + + + + + + + + + + + + + + +
    + + diff --git a/learn/acton-by-example/rts.html b/learn/acton-by-example/rts.html new file mode 100644 index 0000000..ee36906 --- /dev/null +++ b/learn/acton-by-example/rts.html @@ -0,0 +1,244 @@ + + + + + + Run Time System + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    + + + + + + + + + + + + + +
    + +
    + + + + + + + + +
    +
    +

    Run Time System

    +

    The Acton Run Time System is what sets up the environment in which an Acton program runs. It performs bootstrapping of the root actor. The worker threads that carry out actual execution of actor continuations are part of the RTS. It is the RTS that handles scheduling of actors and the timer queue. All I/O is handled between modules in the standard library in conjunction with the RTS.

    +

    Arguments

    +

    It is possible to configure the RTS through a number of arguments. All arguments to the RTS start with --rts-. Use --rts-help to see a list of all arguments:

    +
    $ actonc examples/helloworld.act
+Building file examples/helloworld.act
+  Compiling helloworld.act for release
+   Finished compilation in   0.012 s
+  Final compilation step
+   Finished final compilation step in   0.198 s
+$ examples/helloworld --rts-help
+The Acton RTS reads and consumes the following options and arguments. All
+other parameters are passed verbatim to the Acton application. Option
+arguments can be passed either with --rts-option=ARG or --rts-option ARG
+
+  --rts-debug                       RTS debug, requires program to be compiled with --dev
+  --rts-ddb-host=HOST               DDB hostname
+  --rts-ddb-port=PORT               DDB port [32000]
+  --rts-ddb-replication=FACTOR      DDB replication factor [3]
+  --rts-node-id=ID                  RTS node ID
+  --rts-rack-id=RACK                RTS rack ID
+  --rts-dc-id=DATACENTER            RTS datacenter ID
+  --rts-host=RTSHOST                RTS hostname
+  --rts-help                        Show this help
+  --rts-mon-log-path=PATH           Path to RTS mon stats log
+  --rts-mon-log-period=PERIOD       Periodicity of writing RTS mon stats log entry
+  --rts-mon-on-exit                 Print RTS mon stats to stdout on exit
+  --rts-mon-socket-path=PATH        Path to unix socket to expose RTS mon stats
+  --rts-no-bt                       Disable automatic backtrace
+  --rts-log-path=PATH               Path to RTS log
+  --rts-log-stderr                  Log to stderr in addition to log file
+  --rts-verbose                     Enable verbose RTS output
+  --rts-wthreads=COUNT              Number of worker threads [#CPU cores]
+
+$
+
    +

    Worker threads

    +

    Per default, the RTS starts as many worker threads as there are CPU threads available, although at least 4. This is optimized for server style workloads where it is presumed that the Acton program is the sole program consuming considerable resources. When there are 4 and more CPU threads available, the worker threads are pinned to each respective CPU thread.

    +

    It is possible to specify the number of worker threads with --rts-wthreads=COUNT.

    +

    Actor method continuations run to completion, which is why it is wise not to set this value too low. Per default a minimum of 4 threads are started even when there are fewer CPU threads available, which means the operating system will switch between the threads inducing context switching overhead.

    + +
    + + +
    +
    + + + +
    + + + + + + + + + + + + + + + + + + + +
    + + diff --git a/learn/acton-by-example/searcher.js b/learn/acton-by-example/searcher.js new file mode 100644 index 0000000..dc03e0a --- /dev/null +++ b/learn/acton-by-example/searcher.js @@ -0,0 +1,483 @@ +"use strict"; +window.search = window.search || {}; +(function search(search) { + // Search functionality + // + // You can use !hasFocus() to prevent keyhandling in your key + // event handlers while the user is typing their search. + + if (!Mark || !elasticlunr) { + return; + } + + //IE 11 Compatibility from https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/String/startsWith + if (!String.prototype.startsWith) { + String.prototype.startsWith = function(search, pos) { + return this.substr(!pos || pos < 0 ? 0 : +pos, search.length) === search; + }; + } + + var search_wrap = document.getElementById('search-wrapper'), + searchbar = document.getElementById('searchbar'), + searchbar_outer = document.getElementById('searchbar-outer'), + searchresults = document.getElementById('searchresults'), + searchresults_outer = document.getElementById('searchresults-outer'), + searchresults_header = document.getElementById('searchresults-header'), + searchicon = document.getElementById('search-toggle'), + content = document.getElementById('content'), + + searchindex = null, + doc_urls = [], + results_options = { + teaser_word_count: 30, + limit_results: 30, + }, + search_options = { + bool: "AND", + expand: true, + fields: { + title: {boost: 1}, + body: {boost: 1}, + breadcrumbs: {boost: 0} + } + }, + mark_exclude = [], + marker = new Mark(content), + current_searchterm = "", + URL_SEARCH_PARAM = 'search', + URL_MARK_PARAM = 'highlight', + teaser_count = 0, + + SEARCH_HOTKEY_KEYCODE = 83, + ESCAPE_KEYCODE = 27, + DOWN_KEYCODE = 40, + UP_KEYCODE = 38, + SELECT_KEYCODE = 13; + + function hasFocus() { + return searchbar === document.activeElement; + } + + function removeChildren(elem) { + while (elem.firstChild) { + elem.removeChild(elem.firstChild); + } + } + + // Helper to parse a url into its building blocks. + function parseURL(url) { + var a = document.createElement('a'); + a.href = url; + return { + source: url, + protocol: a.protocol.replace(':',''), + host: a.hostname, + port: a.port, + params: (function(){ + var ret = {}; + var seg = a.search.replace(/^\?/,'').split('&'); + var len = seg.length, i = 0, s; + for (;i': '>', + '"': '"', + "'": ''' + }; + var repl = function(c) { return MAP[c]; }; + return function(s) { + return s.replace(/[&<>'"]/g, repl); + }; + })(); + + function formatSearchMetric(count, searchterm) { + if (count == 1) { + return count + " search result for '" + searchterm + "':"; + } else if (count == 0) { + return "No search results for '" + searchterm + "'."; + } else { + return count + " search results for '" + searchterm + "':"; + } + } + + function formatSearchResult(result, searchterms) { + var teaser = makeTeaser(escapeHTML(result.doc.body), searchterms); + teaser_count++; + + // The ?URL_MARK_PARAM= parameter belongs inbetween the page and the #heading-anchor + var url = doc_urls[result.ref].split("#"); + if (url.length == 1) { // no anchor found + url.push(""); + } + + // encodeURIComponent escapes all chars that could allow an XSS except + // for '. Due to that we also manually replace ' with its url-encoded + // representation (%27). + var searchterms = encodeURIComponent(searchterms.join(" ")).replace(/\'/g, "%27"); + + return '' + result.doc.breadcrumbs + '' + + '' + + teaser + ''; + } + + function makeTeaser(body, searchterms) { + // The strategy is as follows: + // First, assign a value to each word in the document: + // Words that correspond to search terms (stemmer aware): 40 + // Normal words: 2 + // First word in a sentence: 8 + // Then use a sliding window with a constant number of words and count the + // sum of the values of the words within the window. Then use the window that got the + // maximum sum. If there are multiple maximas, then get the last one. + // Enclose the terms in . + var stemmed_searchterms = searchterms.map(function(w) { + return elasticlunr.stemmer(w.toLowerCase()); + }); + var searchterm_weight = 40; + var weighted = []; // contains elements of ["word", weight, index_in_document] + // split in sentences, then words + var sentences = body.toLowerCase().split('. '); + var index = 0; + var value = 0; + var searchterm_found = false; + for (var sentenceindex in sentences) { + var words = sentences[sentenceindex].split(' '); + value = 8; + for (var wordindex in words) { + var word = words[wordindex]; + if (word.length > 0) { + for (var searchtermindex in stemmed_searchterms) { + if (elasticlunr.stemmer(word).startsWith(stemmed_searchterms[searchtermindex])) { + value = searchterm_weight; + searchterm_found = true; + } + }; + weighted.push([word, value, index]); + value = 2; + } + index += word.length; + index += 1; // ' ' or '.' if last word in sentence + }; + index += 1; // because we split at a two-char boundary '. ' + }; + + if (weighted.length == 0) { + return body; + } + + var window_weight = []; + var window_size = Math.min(weighted.length, results_options.teaser_word_count); + + var cur_sum = 0; + for (var wordindex = 0; wordindex < window_size; wordindex++) { + cur_sum += weighted[wordindex][1]; + }; + window_weight.push(cur_sum); + for (var wordindex = 0; wordindex < weighted.length - window_size; wordindex++) { + cur_sum -= weighted[wordindex][1]; + cur_sum += weighted[wordindex + window_size][1]; + window_weight.push(cur_sum); + }; + + if (searchterm_found) { + var max_sum = 0; + var max_sum_window_index = 0; + // backwards + for (var i = window_weight.length - 1; i >= 0; i--) { + if (window_weight[i] > max_sum) { + max_sum = window_weight[i]; + max_sum_window_index = i; + } + }; + } else { + max_sum_window_index = 0; + } + + // add around searchterms + var teaser_split = []; + var index = weighted[max_sum_window_index][2]; + for (var i = max_sum_window_index; i < max_sum_window_index+window_size; i++) { + var word = weighted[i]; + if (index < word[2]) { + // missing text from index to start of `word` + teaser_split.push(body.substring(index, word[2])); + index = word[2]; + } + if (word[1] == searchterm_weight) { + teaser_split.push("") + } + index = word[2] + word[0].length; + teaser_split.push(body.substring(word[2], index)); + if (word[1] == searchterm_weight) { + teaser_split.push("") + } + }; + + return teaser_split.join(''); + } + + function init(config) { + results_options = config.results_options; + search_options = config.search_options; + searchbar_outer = config.searchbar_outer; + doc_urls = config.doc_urls; + searchindex = elasticlunr.Index.load(config.index); + + // Set up events + searchicon.addEventListener('click', function(e) { searchIconClickHandler(); }, false); + searchbar.addEventListener('keyup', function(e) { searchbarKeyUpHandler(); }, false); + document.addEventListener('keydown', function(e) { globalKeyHandler(e); }, false); + // If the user uses the browser buttons, do the same as if a reload happened + window.onpopstate = function(e) { doSearchOrMarkFromUrl(); }; + // Suppress "submit" events so the page doesn't reload when the user presses Enter + document.addEventListener('submit', function(e) { e.preventDefault(); }, false); + + // If reloaded, do the search or mark again, depending on the current url parameters + doSearchOrMarkFromUrl(); + } + + function unfocusSearchbar() { + // hacky, but just focusing a div only works once + var tmp = document.createElement('input'); + tmp.setAttribute('style', 'position: absolute; opacity: 0;'); + searchicon.appendChild(tmp); + tmp.focus(); + tmp.remove(); + } + + // On reload or browser history backwards/forwards events, parse the url and do search or mark + function doSearchOrMarkFromUrl() { + // Check current URL for search request + var url = parseURL(window.location.href); + if (url.params.hasOwnProperty(URL_SEARCH_PARAM) + && url.params[URL_SEARCH_PARAM] != "") { + showSearch(true); + searchbar.value = decodeURIComponent( + (url.params[URL_SEARCH_PARAM]+'').replace(/\+/g, '%20')); + searchbarKeyUpHandler(); // -> doSearch() + } else { + showSearch(false); + } + + if (url.params.hasOwnProperty(URL_MARK_PARAM)) { + var words = decodeURIComponent(url.params[URL_MARK_PARAM]).split(' '); + marker.mark(words, { + exclude: mark_exclude + }); + + var markers = document.querySelectorAll("mark"); + function hide() { + for (var i = 0; i < markers.length; i++) { + markers[i].classList.add("fade-out"); + window.setTimeout(function(e) { marker.unmark(); }, 300); + } + } + for (var i = 0; i < markers.length; i++) { + markers[i].addEventListener('click', hide); + } + } + } + + // Eventhandler for keyevents on `document` + function globalKeyHandler(e) { + if (e.altKey || e.ctrlKey || e.metaKey || e.shiftKey || e.target.type === 'textarea' || e.target.type === 'text' || !hasFocus() && /^(?:input|select|textarea)$/i.test(e.target.nodeName)) { return; } + + if (e.keyCode === ESCAPE_KEYCODE) { + e.preventDefault(); + searchbar.classList.remove("active"); + setSearchUrlParameters("", + (searchbar.value.trim() !== "") ? "push" : "replace"); + if (hasFocus()) { + unfocusSearchbar(); + } + showSearch(false); + marker.unmark(); + } else if (!hasFocus() && e.keyCode === SEARCH_HOTKEY_KEYCODE) { + e.preventDefault(); + showSearch(true); + window.scrollTo(0, 0); + searchbar.select(); + } else if (hasFocus() && e.keyCode === DOWN_KEYCODE) { + e.preventDefault(); + unfocusSearchbar(); + searchresults.firstElementChild.classList.add("focus"); + } else if (!hasFocus() && (e.keyCode === DOWN_KEYCODE + || e.keyCode === UP_KEYCODE + || e.keyCode === SELECT_KEYCODE)) { + // not `:focus` because browser does annoying scrolling + var focused = searchresults.querySelector("li.focus"); + if (!focused) return; + e.preventDefault(); + if (e.keyCode === DOWN_KEYCODE) { + var next = focused.nextElementSibling; + if (next) { + focused.classList.remove("focus"); + next.classList.add("focus"); + } + } else if (e.keyCode === UP_KEYCODE) { + focused.classList.remove("focus"); + var prev = focused.previousElementSibling; + if (prev) { + prev.classList.add("focus"); + } else { + searchbar.select(); + } + } else { // SELECT_KEYCODE + window.location.assign(focused.querySelector('a')); + } + } + } + + function showSearch(yes) { + if (yes) { + search_wrap.classList.remove('hidden'); + searchicon.setAttribute('aria-expanded', 'true'); + } else { + search_wrap.classList.add('hidden'); + searchicon.setAttribute('aria-expanded', 'false'); + var results = searchresults.children; + for (var i = 0; i < results.length; i++) { + results[i].classList.remove("focus"); + } + } + } + + function showResults(yes) { + if (yes) { + searchresults_outer.classList.remove('hidden'); + } else { + searchresults_outer.classList.add('hidden'); + } + } + + // Eventhandler for search icon + function searchIconClickHandler() { + if (search_wrap.classList.contains('hidden')) { + showSearch(true); + window.scrollTo(0, 0); + searchbar.select(); + } else { + showSearch(false); + } + } + + // Eventhandler for keyevents while the searchbar is focused + function searchbarKeyUpHandler() { + var searchterm = searchbar.value.trim(); + if (searchterm != "") { + searchbar.classList.add("active"); + doSearch(searchterm); + } else { + searchbar.classList.remove("active"); + showResults(false); + removeChildren(searchresults); + } + + setSearchUrlParameters(searchterm, "push_if_new_search_else_replace"); + + // Remove marks + marker.unmark(); + } + + // Update current url with ?URL_SEARCH_PARAM= parameter, remove ?URL_MARK_PARAM and #heading-anchor . + // `action` can be one of "push", "replace", "push_if_new_search_else_replace" + // and replaces or pushes a new browser history item. + // "push_if_new_search_else_replace" pushes if there is no `?URL_SEARCH_PARAM=abc` yet. + function setSearchUrlParameters(searchterm, action) { + var url = parseURL(window.location.href); + var first_search = ! url.params.hasOwnProperty(URL_SEARCH_PARAM); + if (searchterm != "" || action == "push_if_new_search_else_replace") { + url.params[URL_SEARCH_PARAM] = searchterm; + delete url.params[URL_MARK_PARAM]; + url.hash = ""; + } else { + delete url.params[URL_MARK_PARAM]; + delete url.params[URL_SEARCH_PARAM]; + } + // A new search will also add a new history item, so the user can go back + // to the page prior to searching. A updated search term will only replace + // the url. + if (action == "push" || (action == "push_if_new_search_else_replace" && first_search) ) { + history.pushState({}, document.title, renderURL(url)); + } else if (action == "replace" || (action == "push_if_new_search_else_replace" && !first_search) ) { + history.replaceState({}, document.title, renderURL(url)); + } + } + + function doSearch(searchterm) { + + // Don't search the same twice + if (current_searchterm == searchterm) { return; } + else { current_searchterm = searchterm; } + + if (searchindex == null) { return; } + + // Do the actual search + var results = searchindex.search(searchterm, search_options); + var resultcount = Math.min(results.length, results_options.limit_results); + + // Display search metrics + searchresults_header.innerText = formatSearchMetric(resultcount, searchterm); + + // Clear and insert results + var searchterms = searchterm.split(' '); + removeChildren(searchresults); + for(var i = 0; i < resultcount ; i++){ + var resultElem = document.createElement('li'); + resultElem.innerHTML = formatSearchResult(results[i], searchterms); + searchresults.appendChild(resultElem); + } + + // Display results + showResults(true); + } + + fetch(path_to_root + 'searchindex.json') + .then(response => response.json()) + .then(json => init(json)) + .catch(error => { // Try to load searchindex.js if fetch failed + var script = document.createElement('script'); + script.src = path_to_root + 'searchindex.js'; + script.onload = () => init(window.search); + document.head.appendChild(script); + }); + + // Exported functions + search.hasFocus = hasFocus; +})(window.search); diff --git a/learn/acton-by-example/searchindex.js b/learn/acton-by-example/searchindex.js new file mode 100644 index 0000000..d1c9f07 --- /dev/null +++ b/learn/acton-by-example/searchindex.js @@ -0,0 +1 @@ +Object.assign(window.search, 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Acton is a advanced general purpose programming language offering functional and object-oriented style of programming based on the actor -model and async I/O. Type safe and with capabilities based security, Acton is statically compiled for high performance and portability . In other words, pretty much perfect ;) We hope you enjoy it as much as we do. It's readily available to build anything from advanced \"shell scripts\" to low level databases. Unique among programming languages, Acton offers orthogonal persistence , which means you don't have to think about how to persist data, or rather the state of your program, for durability. Acton will do it for you, using its fault-tolerant distribute database. Pretty damn cool!","breadcrumbs":"Getting started","id":"0","title":"Getting started"},"1":{"body":"We follow tradition and introduce Acton with the following minimal example Source: # This is a comment, which is ignored by the compiler. # An actor named 'main' is automatically discovered and recognized as the root # actor. Any .act file with a main actor will be compiled into a binary # executable and the main actor becomes the starting point.\nactor main(env): print(\"Hello World!\") env.exit(0) Compile and run: acton hello.act\n./hello Output: Hello World!","breadcrumbs":"Getting started » Hello World » Hello World","id":"1","title":"Hello World"},"10":{"body":"Acton supports a plethora of primitive data types. int integers, like 1, 2, 123512, -6542 or 1267650600228229401496703205376 int is arbitrary precision and can grow beyond machine word sizes i16 is a fixed size signed 16 bit integer i32 is a fixed size signed 32 bit integer i64 is a fixed size signed 64 bit integer u16 is a fixed size unsigned 16 bit integer u32 is a fixed size unsigned 32 bit integer u64 is a fixed size unsigned 64 bit integer float 64 bit float, like 1.3 or -382.31 bool boolean, like True or False str strings, like foo strings support Unicode characters lists like [1, 2, 3] or [\"foo\", \"bar\"] dictionaries like {\"foo\": 1, \"bar\": 3} tuples like (1, \"foo\") sets like {\"foo\", \"bar\"} In Acton, mutable state can only be held by actors. Global definitions in modules are constant. Assigning to the same name in an actor will shadow the global variable. Source: foo = 3 # this is a global constant and cannot be changed def printfoo(): print(\"global foo:\", foo) # this will print the global foo actor main(env): # this sets a local variable with the name foo, shadowing the global constant foo foo = 4 print(\"local foo, shadowing the global foo:\", foo) printfoo() a = u16(1234) print(\"u16:\", a) env.exit(0) Output: local foo, shadowing the global foo: 4\nglobal foo: 3\nu16: 1234","breadcrumbs":"Language » Variable data types » Variable data types","id":"10","title":"Variable data types"},"11":{"body":"Source: actor main(env): i = 42 # an integer f = 13.37 # a float print(i) print(f) s = \"Hello\" # a string print(s) # a slice of a string print(s[0:1]) b = True # a boolean print(b) env.exit(0) Compile and run: actonc scalars.act\n./scalars Output: 42\n13.37\nHello\nH\nTrue","breadcrumbs":"Language » Variable data types » Scalars » Scalars","id":"11","title":"Scalars"},"12":{"body":"Source: from math import pi actor main(env): # round to 2 decimals a = round(pi, 2) # print 4 digits of pi print(\"%.4f\" % pi) env.exit(0) Output: 3.1416","breadcrumbs":"Language » Variable data types » Scalars » float » float","id":"12","title":"float"},"13":{"body":"Source: actor main(env): l = [\"foo\", \"foo\"] l.append(\"bar\") l.insert(0, \"Firsty\") l.append(\"banana\") # Indexing starts at 0 print(\"First item: \" + l[0]) # Negative index counts from the end print(\"Last item : \" + l[-1]) # Note how we need to explicitly cast the list to str before printing print(\"List items: \" + str(l)) # We can take a slice of a list with [start:stop] where the start index is # inclusive but the stop index is exclusive, just like in Python. # A slice of a list is also a list, so cast to str. print(\"A slice : \" + str(l[2:4])) print(\"Pop first item:\", l.pop(0)) print(\"Pop last item:\", l.pop(-1)) print(\"List items:\", str(l)) # Extend a list by adding another list to it l.extend([\"apple\", \"orange\"]) print(\"List items:\", str(l)) unsorted_list = [9, 5, 123, 14, 1] sl = sorted(unsorted_list) print(\"Sorted list\", str(sl)) # Reverse a list inplace l.reverse() print(\"Reversed:\", l) # Get a shallow copy of the list l2 = l.copy() print(\"Copy:\", l2) # Clear list l.clear() print(\"List after clear:\", str(l)) env.exit(0) Compile and run: actonc lists.act\n./lists Output: First item: Firsty\nLast item : banana\nList items: ['Firsty', 'foo', 'foo', 'bar', 'banana']\nA slice : ['foo', 'bar']\nPop first item: Firsty\nPop last item: banana\nList items: ['foo', 'foo', 'bar']\nList items: ['foo', 'foo', 'bar', 'apple', 'orange']\nSorted list [1, 5, 9, 14, 123]\nReversed: ['orange', 'apple', 'bar', 'foo', 'foo']\nCopy: ['orange', 'apple', 'bar', 'foo', 'foo']\nList after clear: [] All items in a list must be of the same type It is not allowed to mix, like [\"foo\", 1] leads to a compiler error","breadcrumbs":"Language » Variable data types » Lists » Lists","id":"13","title":"Lists"},"14":{"body":"Source: actor main(env): d = {\"foo\": 1, \"bar\": 2} d[\"cookie\"] = 3 print(\"Dict: \" + str(d)) print(\"len : \" + str(len(d))) print(\"item foo: \" + str(d[\"foo\"])) print(\"item foo: \" + str(d.get(\"foo\", \"default\"))) print(\"get default value when key nonexistent: \" + str(d.get(\"foobar\", \"DEF_val\"))) d[\"bar\"] = 42 del d[\"foo\"] print(\"Dict: \" + str(d)) print(\"Dict keys: \" + str(list(d.keys()))) print(\"Dict values: \" + str(list(d.values()))) print(\"Dict items:\") for k, v in d.items(): print(\" dict key \" + k + \"=\" + str(v)) print(\"Pop last item:\", d.popitem()) print(\"Dict after .popitem():\", d) # Get a shallow copy of a dict. Note the use of .items() to get keys and values new_d = dict(d.items()) env.exit(0) Compile and run: actonc dicts.act\n./dicts Output: Dict: {\"foo\":1, \"bar\":2, \"cookie\":3}\nlen : 3\nitem foo: 1\nitem foo: 1\nget default value when key nonexistent: DEF_val\nDict: {\"bar\":42, \"cookie\":3}\nDict keys: [\"bar\", \"cookie\"]\nDict values: [42, 3]\nDict items: dict key bar=42 dict key cookie=3\nPop last item: (\"cookie\", 3)\nDict after .popitem(): {\"bar\":42}","breadcrumbs":"Language » Variable data types » Dictionaries » Dictionaries","id":"14","title":"Dictionaries"},"15":{"body":"Source: actor main(env): # Items in a tuple can be of different types t = (\"foo\", 42) # Fields are accessed by their index and using field / attribute selection style: print(t) print(t.0) print(t.1) # Tuples can use named fields nt = (a=\"bar\", b=1337) print(nt) print(nt.a) print(nt.b) r = foo() if r.b: print(r.c) env.exit(0) def foo() -> (a: str, b: bool, c: int): \"\"\"A function that returns a tuple with fields name a and b \"\"\" return (a = \"hello\", b=True, c=123) Compile and run: actonc sets.act\n./sets Output: ('foo', 42)\nfoo\n42\n('bar', 1337)\nbar\n1337\n123 fields in a tuple can be of different types tuples have a fixed fields tuples with named fields is like an anonymous data class, i.e. the data type itself has no name tuples with named fields can be used like a simple record type","breadcrumbs":"Language » Variable data types » Tuples » Tuples","id":"15","title":"Tuples"},"16":{"body":"Source: actor main(env): # set syntax is similar to dicts using {} but without keys s = {\"foo\", \"bar\"} # Although for an empty set, {} cannot be used as it means an empty dict # (and it is impossible to distinguish between the two from syntax alone). # Use set() to create an empty set. empty_set = set() print(\"Set content:\", s) if \"foo\" in s: print(\"'foo' is in the set\") if \"a\" not in s: print(\"'a' is not in the set\") # Adding an item that is already in the set does nothing s.add(\"foo\") print(\"Set without duplicate 'foo':\", s) s.add(\"a\") print(\"Set after adding 'a':\", s) if \"a\" in s: print(\"'a' is in the set now\") print(\"Entries in set:\", len(s)) s.discard(\"foo\") print(\"Set after discarding 'foo':\", s) # Add all items from another set or some other iterable s.update({\"x\", \"y\", \"z\"}) print(s) env.exit(0) Compile and run: acton sets.act\n./sets Output: Building project in /home/user/foo Compiling example.act for release Finished compilation in 0.032 s Final compilation step Finished final compilation step in 0.701 s\nSet content: {'bar', 'foo'}\n'foo' is in the set\n'a' is not in the set\nSet without duplicate 'foo': {'bar', 'foo'}\nSet after adding 'a': {'bar', 'a', 'foo'}\n'a' is in the set now\nEntries in set: 3\nSet after discarding 'foo': {'bar', 'a'}\n{'x', 'bar', 'a', 'y', 'z'}","breadcrumbs":"Language » Variable data types » Sets » Sets","id":"16","title":"Sets"},"17":{"body":"Functions are declared using the def keyword. Use return foo to return variable foo. If no return keyword is used or a lone return without argument is given, the function will return None. Source: def multiply(a, b): print(\"Multiplying\", a, \"with\", b) return a*b actor main(env): result = multiply(3, 4) print(\"Result:\", result) env.exit(0) Output: Multiplying 3 with 4\nResult: 12","breadcrumbs":"Language » Functions » Functions","id":"17","title":"Functions"},"18":{"body":"Actor methods are declared under an actor using the def keyword. An actor method runs in the context of the actor and can access its private state. As Actors are sequential processes, calling other methods on the local actor or any function is going to be run sequentially. Calling an actor method on the local actor can be done simply by calling it by its name, without any prefix such as self.. All actor methods are public. Call a method on another actor by calling actor_name.method_name(). Calling methods on other actors can be done synchronously or asynchronously . Source: def multiply(a, b): print(\"Multiplying\", a, \"with\", b) return a*b actor main(env): var secret = 42 def compute(a): print(\"Computing result based on our secret\", secret) res = multiply(a, secret) return res result = compute(3) print(\"Result:\", result) env.exit(0) Output: Computing result based on our secret 42\nMultiplying 3 with 42\nResult: 126","breadcrumbs":"Language » Functions » Actor methods » Actor methods","id":"18","title":"Actor methods"},"19":{"body":"Acton supports higher order functions which means you can pass a function as an argument to another function. Source: def multiply_with_3(a): print(\"Multiplying with 3\") return 3*a def multiply_with_42(a): print(\"Multiplying with 42\") return 42*a def compute(a, fun): \"\"\"Compute value from a using function fun\"\"\" return fun(a) actor main(env): print( compute(7, multiply_with_3) ) print( compute(7, multiply_with_42) ) env.exit(0) Output: Multiplying with 3\n21\nMultiplying with 42\n294","breadcrumbs":"Language » Functions » Higher order functions » Higher order functions","id":"19","title":"Higher order functions"},"2":{"body":"When an Acton program runs, it really consits of a collection of actors that interact with each other. In the above example, we have just a single actor, which has been given the name main and that acts as the root actor of our system. The root actor of a system takes a parameter env, which represents the execution environment. env has methods for accessing command line arguments and carries a reference to the capabilities of the surrounding world, WorldCap, for accessing the environment, e.g. reading from and writing to keyboard/screen and files, working with sockets etc.","breadcrumbs":"Getting started » Hello World » Description","id":"2","title":"Description"},"20":{"body":"Every value in Acton is of a certain data type , which tells Acton what kind of data is being specified so it knows how to work with the data. Acton is a statically typed language, which means the type of all values must be known when we compile the program. Unlike many traditional languges like Java or C++, where types must be explicitly stated everywhere, we can write most Acton programs without types. The Acton compiler features a powerful type inferencer which will infer the types used in the program. This program does not have any explicit types specified. Source: def foo(a, b): if a > 4: print(len(b)) actor main(env): i1 = 1234 # inferred type: int s1 = \"hello\" # inferred type: str foo(i1, s1) env.exit(0) To see the inferred types of an Acton program, use the --sigs option of the compiler. As the name suggests, this will print out the type signatures for functions, actors and their attributes and methods in the specified Acton module. Print type signatures with --sigs: actonc types.act --sigs Output: #################################### sigs: foo : [A(Ord, Number)] => (A, Collection[B]) -> None actor main (Env): i1 : int s1 : str Acton implements the Hindley-Milner (HM) type system, which is common in languages with static types, like Haskell and Rust. Acton extends further from HM to support additional features.","breadcrumbs":"Language » Types » Types","id":"20","title":"Types"},"21":{"body":"It is possible to explicitly specify the types of variables or arguments in a function. The syntax is similar to type hints in Python. Source: # 'a: int' means the first argument `a` should be of type int\n# 'b: str means the second argument `b` should be of type str\n# The function returns nothing\ndef foo(a: int, b: str) -> None: print(a, b) # A functions type signature can also be written on a separate line\nbar : (int, str) -> None\ndef bar(a, b): print(a, b) actor main(env): # i1 is explicitly specified as an integer while s1 is a str i1 : int = 1234 s1 : str = \"hello\" foo(i1, s1) bar(i1, s1) # The literal value 1234 is an integer, so when we assign it to i2, the # compiler can easily infer that the type of i2 is int. Similarly for s2 # since the literal value \"hello\" is clearly a string i2 = 1234 s2 = \"hello\" foo(i2, s2) bar(i2, s2) env.exit(0) Compile and run: actonc types.act\n./types Output: 1234 hello\n1234 hello\n1234 hello\n1234 hello Try changing the type of i1 or s1 and you will find that the compiler complains that it cannot solve the type constraints of the program.","breadcrumbs":"Language » Types » Explicit types » Explicit types","id":"21","title":"Explicit types"},"22":{"body":"Sometimes we want to be able to work with any type. We call such types generic types . For example, the builtin list type in Acton can store any other type, so we say it is a list of A, where A is a generic type (from the specification in Acton builtins): class list[A] (object): ... def pop(self, n :?int=-1) -> A: \"\"\"Pop and return an item from the list\" [A] says A is a generic type. And for example, the pop() function on list returns an element of type A. class list[A] (object): ^^^ --- generic types are written here, between [] A is a generic type used in `class list` def pop(self, n :?int) -> A: ^--- list.pop returns an item of type A","breadcrumbs":"Language » Types » Generics » Generic Types","id":"22","title":"Generic Types"},"23":{"body":"Acton supports the object-oriented paradigm, which means that it provides features to create classes and objects, which are instances of classes. Classes are a fundamental concept in an object-oriented world and they allow programmers to create their own data types with their own attributes and methods. A class is defined using the class keyword followed by the name of the class. The convention is to use CamelCase for class names. class Circle(object): radius: float def __init__(self, radius): self.radius = radius def diameter(self): return self.radius * 2 Attributes are variables that hold data for an object of a particular class and methods are functions that operate on that data. In the above example, radius is an attribute of the Circle class and diameter() is a method that returns the diameter. Class methods must have self as the first argument, which refers to the object instance of the class that the method is called on.","breadcrumbs":"Language » Classes » Classes and Objects","id":"23","title":"Classes and Objects"},"24":{"body":"A Class is like a blueprint and an object is an instance of such a blueprint. To create an object, or \"instantiate\", we use the \"blueprint\" (class), like so: circle = Circle(3.14) Here we create the object circle from the class Circle, passing the parameter 3.14 which will be used to set the radius attribute of the object. print(circle.diameter()) And here we print the diameter of the circle by calling the .diameter() method.","breadcrumbs":"Language » Classes » Creating an object","id":"24","title":"Creating an object"},"25":{"body":"Inheritance is a way of creating a new class from an existing class. The new class is called the derived class and the existing class from which we inherit is called the base class. The derived class inherits all the attributes and methods of the base class. The derived class can extend the base class by adding more attributes or methods. It is also possible to override methods to create more specific functionality. We add the area() to Circle to get the area and realize that the unlike the diameter, area is common for all gemetric shapes. Thus we create a base class Shape that defines the area() method, but does not implement it since there is no generic way to compute the area for all shapes. Each concrete class, like Circle and Square, should implement area(). Source: class Shape(object): def area(self) -> float: raise NotImplementedError(\"This method should be overridden by subclasses\") class Circle(Shape): radius: float def __init__(self, radius): self.radius = radius def diameter(self): return self.radius * 2 def area(self): return 3.14 * self.radius ** 2 class Square(Shape): def __init__(self, side: float): self.side = side def area(self) -> float: return self.side ** 2 actor main(env): circle = Circle(3.14) square = Square(3.14) print(circle.area() + square.area()) env.exit(0) Inheritance is one of the primary methods, if not the primary method, of structuring programs in the object oriented paradigm. Shape is an abstract class because it has no __init__ method.","breadcrumbs":"Language » Classes » Inheritance » Class Inheritance","id":"25","title":"Class Inheritance"},"26":{"body":"Protocols defines functionality in an abstract way that can be implemented by many classes. Class and class inheritance is a good tool for structuring data and behavior. However, sometimes there is no clear parent / child relationship between classes, in which case using a protocol might be a more suitable choice. Perhaps the simplest example is the Eq protocol, that defines equality between two objects, from the Acton builtins. Classes do not need to have any common inheritance in order to support equality. protocol Eq: @staticmethod __eq__ : (Self,Self) -> bool The __eq__ method takes two arguments, itself and the other object to compare with and returns True or False. Both arguments are of the same type Self, which means we can only compare two objects that are of the same type. It can be any type, as long as its the same type. extension Circle (Eq): def __eq__(self, other): return self.radius == other.radius Protocols allows us to express the requirement for a (generic) type to implement some particular functionality. Let's say we have a function that compares two objects. def comparator(a, b): print(\"Things:\", a, b) print(\"Are they equal?\", a == b) We know that a and b must implement the Eq protocol and they must be of the same type. Let's see what the compiler constraint solver says: acton --sigs generic.act == sigs: generic ================================ comparator : [A(Eq)] => (a: A, b: A) -> None\n================================================= The type has been inferred to a generic type A that must implement the Eq protocol, which is written as A(Eq). We can write this explicitly: def comparator[A(Eq)](a: A, b: A): print(\"Things:\", a, b) print(\"Are they equal?\", a == b)","breadcrumbs":"Language » Protocols » Protocols","id":"26","title":"Protocols"},"27":{"body":"Method dispatch and Method Resolution Order (MRO) is about picking a particular implementation of a method when there are multiple to pick from. For class inheritance, it is pretty straight forward, the method used will always be that of the actual class. For protocols, it is not as simple. Dispatch of methods for protocols is based on the observed type, which can be somewhat surprising. Here are two classes, the base class Point and the dervied class Point3D (which inherits from Point). Each implement the Eq protocol. class Point(object): def __init__(self, x: int, y: int): self.x = x self.y = y extension Point (Eq): def __eq__(self, other): return self.x == other.x and self.y == other.y class Point3D(Point): def __init__(self, x: int, y: int, z: int): self.x = x self.y = y self.z = z extension Point3D (Eq): def __eq__(self, other): return self.x == other.x and self.y == other.y and self.z == other.z def comparator(a: Point, b: Point) -> bool: return a == b actor main(env): # p1 and p2 are actually different in z. If seen as a 2D point, they appear # equal since the x and y values of p1 and p2 are the same p1 = Point3D(1, 2, 3) p2 = Point3D(1, 2, 4) # False, because we see p1 and p2 as Point3D objects and thus dispatch the Eq # extension __eq__ method to Point3D which correctly compares x, y and z print(p1 == p2) # True, because comparator takes (Point, Point) and thus we see p1 and p2 # as Point objects and thus dispatch the Eq extension __eq__ method to Point # which only compares x and y and thus returns True despite the z difference print(comparator(p1, p2)) env.exit(0) The comparator function takes arguments of the base class Point type, which means that when dispatching, they will use the Eq protocol of Point rather than that of Point3D. Naive use typically dispatches to the protocol implementation of the derived class, which is what we intuitively want. It's only when we have forced the type to be observed, as here, that we end up with the \"wrong\" protocol implementation. Note that there are also cases where this is the desired behavior. In this particular example, the natural and better solution is to write the comparator function as requiring the Eq type: def generic_comparator[A(Eq)](a: A, b: A): return a == b Another common scenario is when the type has been forced by storing items in a list or dict, which in turn is typed as storing a base class. actor main(env): ref_point = Point3D(1, 2, 4) p1 = Point3D(1, 2, 3) p2 = Point3D(1, 2, 4) my_points: list[Point] = [p1, p2] for point in my_points: if point == ref_point: print(\"Found the reference (compared as Point)\", point) if isinstance(point, Point3D) and point == ref_point: print(\"Found the reference (compared to Point3D)\", point) As shown in the above example, we can force the comparison to use the Eq protocol implemention of Point3D by using isinstance to check and thus coerce the observed type of point to be Point3D.","breadcrumbs":"Language » Protocols » Method Dispatch » Protocol Method Dispatch and Method Resolution Order","id":"27","title":"Protocol Method Dispatch and Method Resolution Order"},"28":{"body":"Actors is a key concept in Acton. Each actor is a small sequential process with its own private state. Actors communicate with each other through messages, in practice by calling methods on other actors or reading their attributes. Source: # An actor definition\nactor Act(name): # Top level code in an actor runs when initializing an actor instance, like # __init__() in Python. print(\"Starting up actor \" + name) def hello(): # We can directly access actor arguments, like `name` print(\"Hello world from \" + name) actor main(env): # Create an actor instance a of Act a = Act(\"FOO\") # Call the actor method hello await async a.hello() env.exit(0) Compile and run: actonc actors.act\n./actors Output: No dependencies found, building project\nBuilding project in /tmp/tmp_nwgl0ik/example Compiling example.act for release Finished compilation in 0.015 s Final compilation step Finished final compilation step in 0.437 s\nStarting up actor FOO\nHello world from FOO","breadcrumbs":"Language » Actors » Actors","id":"28","title":"Actors"},"29":{"body":"Like C has a main() function, Acton has a root actor. To compile a binary executable, there must be a root actor. Per default, if a source (.act) file contains an actor named main, it will be used as the root actor but it can also be specified using the --root argument. While the convention is to call the root actor main, you are free to name it anything. Given this Acton program: actor main(env): print(\"Hello World!\") env.exit(0) The following actonc commands will all produce the same output. actonc hello.act\nactonc hello.act --root main\nactonc hello.act --root hello.main The first invocation relies on the default rule of using an actor called main. The second invocation explicitly specifies that we want to use main as the root actor while the third uses a qualified name which includes both the actor name (main) as well as the module name (hello). Using qualified names can be particularly useful when building executable binaries in projects. A normal Acton program consists of many actors that are structured in a hierarchical tree. The root actor is at the root of the tree and is responsible for starting all other actors directly or indirectly. The Acton Run Time System (RTS) will bootstrap the root actor. rootAB12345 Any executable Acton program must have a root actor defined. Acton libraries (that are included in an another Acton program), do not need a root actor.","breadcrumbs":"Language » Actors » Root Actor » Root Actor","id":"29","title":"Root Actor"},"3":{"body":"Debian / Ubuntu\nMacOS For Debian derivative distributions that use .dpkg and the APT ecosystem. Add the Acton APT repo and install from there: wget -q -O - https://apt.acton-lang.io/acton.gpg | sudo apt-key add -\necho \"deb [arch=amd64] http://apt.acton-lang.io/ stable main\" | sudo tee /etc/apt/sources.list.d/acton.list\nsudo apt-get update\nsudo apt-get install -qy acton brew install actonlang/acton/acton","breadcrumbs":"Getting started » Installation » Installation","id":"3","title":"Installation"},"30":{"body":"The main function in most imperative and functional programming languages start at the top and when they reach the end of the function, the whole program exits. Actors exist as long as another actor has a reference to it and will idle, passively waiting for the next method call. Actors without references will be garbage collected. The root actor of a program will always exist even without other references. This means that a simple program like this modified helloworld (the env.exit() call has been removed) will run indefinitely. You need to deliberately tell the run time system to stop the actor world and exit, via env.exit(), in order to exit the program. Source: actor main(env): print(\"Hello world!\") Compile and run: actonc noexit.act Output: $ ./noexit\n","breadcrumbs":"Language » Actors » Lifetime » Lifetime","id":"30","title":"Lifetime"},"31":{"body":"Actors typically contain some private state. We define variable attributes at the top level in the actor using the var keyword and can then access them from any method within the local actor. Note how self. is not needed. Private variables are not visible from other actors. Source: actor Act(): var something = 40 # private actor variable attribute fixed = 1234 # public constant def hello(): # We can access local actor variable attributes directly, no need for # self.something or similar something += 2 print(\"Hello, I'm Act & value of 'something' is: \" + str(something)) actor main(env): actor1 = Act() await async actor1.hello() print(\"Externally visible constant: \", actor1.fixed) # This would give an error, try uncommenting it # print(actor1.something) env.exit(0) Compile and run: actonc attrs.act Output: Hello, I'm Act & value of 'something' is: 42\nExternally visible constant: 1234 Without the var keyword, an actor attribute is a constant. As constants are not mutable, it is safe to make it visible to other actors and it can be accessed like an attribute on an object.","breadcrumbs":"Language » Actors » Attributes » Actor Attributes & Constants","id":"31","title":"Actor Attributes & Constants"},"32":{"body":"Multiple actors run concurrently. In this example we can see how the two actors Foo and Bar run concurrently. The main actor is also running concurrently, although it doesn't do anything beyond creating the Foo and Bar actors and exiting after some time. Source: actor Counter(name): var counter = 0 def periodic(): print(\"I am \" + name + \" and I have counted to \" + str(counter)) counter += 1 # 'after 1' tells the run time system to schedule the specified # function, in this case periodic(), i.e. ourselves, after 1 second after 1: periodic() # First invocation of periodic() periodic() actor main(env): # Create two instances of the Counter actor, each with a unique name foo = Counter(\"Foo\") bar = Counter(\"Bar\") def exit(): env.exit(0) # exit the whole program after 10 seconds after 10: exit() Compile and run: actonc concurrency.act\n./concurrency Output: I am Foo and I have counted to 0\nI am Bar and I have counted to 0\nI am Foo and I have counted to 1\nI am Bar and I have counted to 1\nI am Foo and I have counted to 2\nI am Bar and I have counted to 2\nI am Foo and I have counted to 3\nI am Bar and I have counted to 3\nI am Foo and I have counted to 4\nI am Bar and I have counted to 4\nI am Bar and I have counted to 5\nI am Foo and I have counted to 5\nI am Bar and I have counted to 6\nI am Foo and I have counted to 6\nI am Bar and I have counted to 7\nI am Foo and I have counted to 7\nI am Foo and I have counted to 8\nI am Bar and I have counted to 8\nI am Foo and I have counted to 9\nI am Bar and I have counted to 9","breadcrumbs":"Language » Actors » Concurrency » Actor concurrency","id":"32","title":"Actor concurrency"},"33":{"body":"While async is good for performance it makes it somewhat convoluted, forcing use of callbacks, to just return a value. Acton makes it possible to call other actors in a synchronous fashion for ease of use. A method is called synchronously when the return value is used. Source: import acton.rts actor DeepT(): def compute(): # some heavy computation going on acton.rts.sleep(1) return 42 actor main(env): d1 = DeepT() answer = d1.compute() print(\"The answer is\", answer) env.exit(0) Compile and run: actonc sync.act Output: The answer is 42 The call flow can be illustrated like this. We can see how the execution of main is suspended while it is waiting for the return value from actor d1. maind1 While synchronous is bad because we block waiting for someone else, we are only ever going to wait for another actor to run its method. There is never any wait for I/O or other indefinite waiting, only blocking wait for computation within the Acton system. This is achieved by the lack of blocking calls for I/O, thus even if there is a chain of actors waiting for each other","breadcrumbs":"Language » Actors » Sync Method calls » Sync Method calls","id":"33","title":"Sync Method calls"},"34":{"body":"As actors are sequential programs and can only do one thing at a time, it is important not to spend time waiting in a blocking fashion. Acton leverages asynchronous style programming to allow actors to react and run only when necessary. Async is at the core of Acton! A method is called asynchronously when the return value is not used. Source: def nsieve(n: int): \"\"\"Sieve of Erathostenes to find primes up to n \"\"\" count = 0 flags = [True] * n for i in range(2, n, 1): if flags[i]: count += 1 for j in range(i, n, i): flags[j] = False return count actor Simon(idx): def say(msg, n): # Simon likes to compute primes and will tell you how many there are under a given number count = nsieve(n) print(\"Simon%d says: %s.... oh and there are %d primes under %d\" % (idx, msg, count, n)) actor main(env): s1 = Simon(1) s2 = Simon(2) s1.say(\"foo\", 1000000) s2.say(\"bar\", 5) def exit(): env.exit(0) after 0.2: exit() Compile and run: actonc async.act Output: Simon2 says: bar.... oh and there are 2 primes under 5\nSimon1 says: foo.... oh and there are 78498 primes under 1000000 A method call like s1.say(\"foo\", 100000) does not use the return value of and is thus called asynchronously. We ask s1 to compute primes under 1000000 while s2 only gets to compute primes up to 5 which will invariably run faster. Thus, s2 despite being called after s1, will print out its result before s1. The s1 and s2 actors are called asynchronously and are executed concurrently and in parallel. The call flow can be illustrated like this. We can see how main asynchronously calls s1 and s2 that will be scheduled to run concurrently. The run time system (RTS) will run s1.say() and s2.say() in parallel if there are 2 worker threads available. Per default, there are as many worker threads as available CPU threads. mains2s1after2 In addition we see how the call to after 2 schedules the main actor to run again after 2 seconds, specifically it will run the main.exit() method, which in turn exists the whole program.","breadcrumbs":"Language » Actors » Async Method calls » Async Method calls","id":"34","title":"Async Method calls"},"35":{"body":"It is possible to run special code when an actor is about to be garbage collected. This should not be performed by normal actors, this is really only for I/O actors that interact with the environment and might need to also clean up in the environment when the actor is being garbage collected. Define an actor action called __cleanup__ and the run time system will automatically install it to be run at garbage collection time. There is no hard guarantee when the __cleanup__ function will be called and it typically takes a couple of collection rounds to run all finalizers. Source: actor Foo(): action def __cleanup__(): print(\"Cleaning up after myself...\") actor main(env): # create a bunch of actors and do not assign reference, so they should be collected for i in range(20): Foo() # perform some busy work to eventually trigger the GC and thus finalization # & schedule __cleanup__ a = 1 for i in range(99999): a += i # Delay exit a little bit to let RTS workers pick up the asynchronously # scheduled __cleanup__ actions to run for the unreachable instances of the # Foo actor def _stop(): env.exit(0) after 0.1: _stop() Output: Cleaning up after myself...\nCleaning up after myself...\nCleaning up after myself...\nCleaning up after myself...\nCleaning up after myself...\nCleaning up after myself...\nCleaning up after myself...\nCleaning up after myself...\nCleaning up after myself...\nCleaning up after myself...\nCleaning up after myself...\nCleaning up after myself...\nCleaning up after myself...\nCleaning up after myself...\nCleaning up after myself...\nCleaning up after myself...\nCleaning up after myself...\nCleaning up after myself...\nCleaning up after myself...\nCleaning up after myself...","breadcrumbs":"Language » Actors » Cleanup » Cleanup / Finalization","id":"35","title":"Cleanup / Finalization"},"36":{"body":"A crucial part in any imperative program is to control the flow of execution. Acton supports a number of different constructs for this: actors if / else for while after / sleep","breadcrumbs":"Language » Control flow » Control flow","id":"36","title":"Control flow"},"37":{"body":"The basic control flow of most programming languages involve a starting point, like a main function, which is run from top to bottom, after which the program implicitly terminates. The basic objective is to feed instructions to the CPU and this goal remains through increasing levels of abstractions. Acton is different. Once created, an actor will simply remain indefinitely, waiting for incoming messages in the form of actor method calls. See Actor Lifetime .","breadcrumbs":"Language » Control flow » actors » Control flow in an async actor world","id":"37","title":"Control flow in an async actor world"},"38":{"body":"Actors in an Acton program form a vast web of interconnected actors. Some actors are on the edge of the Acton realm, bordering to the external world where they may be doing I/O with external entities, through files, sockets or other means. All I/O is callback based and thus event driven and reactive. When there is an event, an actors reacts, perhaps initiating calls to other actors. A ripple runs across the web of actors, each reacting to incoming messages and acting accordingly.","breadcrumbs":"Language » Control flow » actors » A mental model of actors","id":"38","title":"A mental model of actors"},"39":{"body":"Acton supports the if / elif / else construct - the corner stone of programming control flow. The conditionals evaluated by if / elif / else are expressions. Source: def whatnum(n): if n < 0: print(n, \"is negative\") elif n > 0: print(n, \"is positive\") else: print(n, \"is zero\") def inrange(n): if n < 10 and n > 5: print(n, \"is between 5 and 10\") else: print(n, \"is outside of the range 5-10\") actor main(env): whatnum(5) whatnum(1337) whatnum(-7) whatnum(0) inrange(3) inrange(-7) inrange(7) env.exit(0) Compile and run: actonc if_else.act Note that the output is random and you could get a different result. Output: 5 is positive\n1337 is positive\n-7 is negative\n0 is zero\n3 is outside of the range 5-10\n-7 is outside of the range 5-10\n7 is between 5 and 10","breadcrumbs":"Language » Control flow » if / elif / else » if / elif / else","id":"39","title":"if / elif / else"},"4":{"body":"Tip releases are built from the latest commit on the acton git repo main branch. They are built at least once a night, so can be thought of as nightlies but more up to date. Debian / Ubuntu x86_64\nLinux x86_64\nMacOS x86_64 For Debian derivative distributions that use .dpkg and the APT ecosystem. Add the Acton APT tip repo and install from there: wget -q -O - https://apt.acton-lang.io/acton.gpg | sudo apt-key add -\necho \"deb [arch=amd64] http://aptip.acton-lang.io/ tip main\" | sudo tee /etc/apt/sources.list.d/acton.list\nsudo apt-get update\nsudo apt-get install -qy acton Copy and extract the dist tar ball. Download from https://github.com/actonlang/acton/releases/download/tip/acton-linux-x86_64-tip.tar.xz tar Jxf acton-linux-x86_64-tip.tar.xz Copy and extract the dist tar ball. Download from https://github.com/actonlang/acton/releases/download/tip/acton-macos-x86_64-tip.tar.xz tar Jxf acton-macos-x86_64-tip.tar.xz","breadcrumbs":"Getting started » Installation » Tip / Nightly » Installation","id":"4","title":"Installation"},"40":{"body":"Iteration is a core concept in programming and for loops are perhaps the most well known. Acton supports the for in construct to iterate through an Iterator. Source: actor main(env): for n in range(1, 100, 1): if n % 15 == 0: print(\"fizzbuzz\") elif n % 3 == 0: print(\"fizz\") elif n % 5 == 0: print(\"buzz\") else: print(n) env.exit(0) Compile and run: actonc while.act Note that the output is random and you could get a different result. Output: 1\n2\nfizz\n4\nbuzz\nfizz\n7\n8\nfizz\nbuzz\n11\nfizz\n13\n14\nfizzbuzz\n16\n17\nfizz\n19\nbuzz\nfizz\n22\n23\nfizz\nbuzz\n26\nfizz\n28\n29\nfizzbuzz\n31\n32\nfizz\n34\nbuzz\nfizz\n37\n38\nfizz\nbuzz\n41\nfizz\n43\n44\nfizzbuzz\n46\n47\nfizz\n49\nbuzz\nfizz\n52\n53\nfizz\nbuzz\n56\nfizz\n58\n59\nfizzbuzz\n61\n62\nfizz\n64\nbuzz\nfizz\n67\n68\nfizz\nbuzz\n71\nfizz\n73\n74\nfizzbuzz\n76\n77\nfizz\n79\nbuzz\nfizz\n82\n83\nfizz\nbuzz\n86\nfizz\n88\n89\nfizzbuzz\n91\n92\nfizz\n94\nbuzz\nfizz\n97\n98\nfizz","breadcrumbs":"Language » Control flow » for » for","id":"40","title":"for"},"41":{"body":"The while construct can be used to run a loop while a condition is true. Source: import random def throw_dice(): number = random.randint(1,6) print(\"Dice:\", number) return number actor main(env): var luck = True while luck: if throw_dice() == 4: # ran out of luck, nobody likes a 4 luck = False env.exit(0) Compile and run: actonc while.act Note that the output is random and you could get a different result. Output: Dice: 3\nDice: 1\nDice: 5\nDice: 2\nDice: 4","breadcrumbs":"Language » Control flow » while » while","id":"41","title":"while"},"42":{"body":"In many languages, it is fairly common to use sleep() for things like timeouts, pacing and similar. In Acton, and more generally in async actor based languages, sleeping is frowned upon and often not even available. The idiomatic control pattern in Acton is using after, like after 42.1337: foo(). This tells the run time system (RTS) to schedule the execution of the foo() function after 42.1337 seconds. Meanwhile, other methods on the actor can be invoked. Source: import time \"\"\"Pace the sending of messages to once a second\n\"\"\" actor Receiver(): def recv(msg): print(\"At \" + str(time.now()) + \", I received a message:\", msg) actor main(env): var i = 0 r = Receiver() def send_msg(): # Send a message, increment i r.recv(\"Hello \" + str(i)) i += 1 # ... and reschedule execution of ourselves in 1 second after 1: send_msg() # Exit after awhile if i > 4: env.exit(0) # Kick off the whole thing send_msg() Compile and run: actonc after_pace.md Since the output includes time, you will naturally get a slightly different result if you run this. Output: At 2023-05-16T10:08:59.135806428+02, I received a message: Hello 0\nAt 2023-05-16T10:09:00.136484032+02, I received a message: Hello 1\nAt 2023-05-16T10:09:01.135585727+02, I received a message: Hello 2\nAt 2023-05-16T10:09:02.135695030+02, I received a message: Hello 3\nAt 2023-05-16T10:09:03.135811176+02, I received a message: Hello 4 There is in fact a sleep function in Acton, hidden away in the acton.rts module. Do NOT use it! It is intended only for debugging of the RTS itself and will probably disappear from the standard library before 1.0. Despite it, we consider the language to not have a sleep. Actors should either be actively processing or at rest. Conceptually, a sleep is an active wait, in the sense that the RTS will just sit there waiting for the sleep to finish, it is blocked , while it really could process something else in between, like run a different actor method continuation. Similarly, the actor itself could have had other methods on it invoked instead of being actively blocked on a sleep. Being blocked is very bad, which is why all I/O is asynchronous in Acton and why there is no sleep. sleep is evil, use after!","breadcrumbs":"Language » Control flow » after / sleep » after and sleep","id":"42","title":"after and sleep"},"43":{"body":"Security is an important part of application development and is best considered throughout the entire design and development time of an application rather than as an bolted-on after-thought. In Acton, the separation of actors offers the primary means of security. Access to actors (like being able to call their methods) requires a reference to the relevant actor. Anyone with a reference can access the actor in question. It is not possible to forge a reference. This is similar to the object capability (OCAP) model . Since there are no global variables, the only reachable state is local to an actor or reachable via a reference to another actor. This means you cannot reach something out of thin air. You have to be explicitly passed a reference to anything you need to access. The security model based on capability references extends for accessing the world outside of the Acton system. actor Foo(): def foo(): print(\"foofoo\") actor Bar(): # Without a reference to f we cannot call its foo() function actor main(env): f = Foo() f.foo() b = Bar()","breadcrumbs":"Language » Security » Security","id":"43","title":"Security"},"44":{"body":"Any interesting program will need to interact with the outside world, like accessing the network or reading files. In C and many other languages, it is possible for any function at any time to simply make calls and access the external world, like read a file (maybe your private SSH key and send it over the network). Acton makes all such access to the outside world explicit through capability references . In an Acton program, having a reference to an actor gives you the ability to do something with that actor. Without a reference, it is impossible to access an actor and it is not possible to forge a reference. This provides a simple and effective security model that also extends to accessing things outside of the Acton system, like files or remote hosts over the network. Things outside of the actor world are represented by actors and to access such actors, a capability reference is required. For example, we can use TCPConnection to connect to a remote host over the network using TCP. The first argument is of the type TCPConnectCap, which is the capability of using a TCP socket to connect to a remote host. This is enforced by the Acton type system. Not having the correct capability reference will lead to a compilation error. TCPConnectCap is part of a capability hierarchy, starting with the generic WorldCap and becoming further and further restricted: WorldCap >> NetCap >> TCPCap >> TCPConnectCap The root actor (typically main()) takes as its first argument a reference to Env, the environment actor. env.cap is WorldCap, the root capability for accessing the outside world. import net actor main(env): def on_connect(c): c.close() def on_receive(c, data): pass def on_error(c, msg): print(\"Client ERR\", msg) connect_cap = net.TCPConnectCap(net.TCPCap(net.NetCap(env.cap))) client = net.TCPConnection(connect_cap, env.argv[1], int(env.argv[2]), on_connect, on_receive, on_error) Capability based privilege restriction prevent some deeply nested part of a program, perhaps in a dependency to a dependency, to perform operations unknown to the application author. Access to capabilities must be explicitly handed out and a program can only perform operations based on the capabilities it has access to.","breadcrumbs":"Language » Security » Capabilities » Capabilities to access outside world","id":"44","title":"Capabilities to access outside world"},"45":{"body":"Functions and methods taking a Cap argument normally takes the most restricted or refined capability. In the example with setting up a TCP connection, it is the TCPConnectCap capability we need, which is the most restricted. Rather than handing over WorldCap to a function, consider what capabilities that function actually needs and only provide those. If a library asks for wider capabilities than it needs, do not use it.","breadcrumbs":"Language » Security » Capabilities » Restrict and delegate","id":"45","title":"Restrict and delegate"},"46":{"body":"As a library author, you should only require precisely the capabilities that the library requires. Do not be lazy and require WorldCap. If the library offers multiple functionalities, for example logging to files or to a remote host, strive to make parts optional such that it the application developer and choose to only use a subset and only provide the capability required for that subset.","breadcrumbs":"Language » Security » Capabilities » Capability friendly interfaces","id":"46","title":"Capability friendly interfaces"},"47":{"body":"The environment of an Acton application is the outside world. Any useful application typically needs to interact with the environment in some way, like reading arguments or taking input from stdin and printing output.","breadcrumbs":"Language » Environment » Environment","id":"47","title":"Environment"},"48":{"body":"It is possible to read, set and unset environment variables. The standard functions env.getenv, env.setenv and env.unsetenv all assume str input and output, which is a convenience based on the assumption that all data is encoded using UTF-8. POSIX systems really use binary encoding for both environment names and variables. To access the environment as bytes and handle decoding explicitly, use env.getenvb, env.setenvb and env.unsetenvb. Source: actor main(env): env_user = env.getenv(\"USER\") if env_user is not None: print(\"User:\", env_user) env.setenv(\"FOO\", \"bar\") env.unsetenv(\"LANG\") foo_env = env.getenv(\"FOO\") if foo_env is not None: print(\"FOO:\", foo_env) env.exit(0) Output: User: myuser\nFOO: bar","breadcrumbs":"Language » Environment » Environment variables » Environment variables","id":"48","title":"Environment variables"},"49":{"body":"Read input from stdin by installing a handler for stdin data. The returned data is str actor main(env): def interact(input): print(\"Got some input:\", input) env.stdin_install(interact) It is possible to specify the encoding and an on_error() callback which is invoked if there are problem with decoding the data. When encoding is not specified (default None), an attempt is made to discover the encoding by reading the LANG environment variable. If no encoding is discovered, the default is to use utf-8. actor main(env): def interact(input): print(\"Got some input:\", input) def on_stdin_error(err, data): print(\"Some error with decoding the input data:\", err) print(\"Raw bytes data:\", data) env.stdin_install(on_stdin=interact, encoding=\"utf-8\", on_error=on_stdin_error) You can read the raw data in bytes form by installing a bytes handler instead: actor main(env): def interact(bytes_input): # Note how the input might contain parts (some bytes) of a multi-byte # Unicode character in which case decoding will fail print(\"Got some input:\", bytes_input.decode()) env.stdin_install(on_stdin_bytes=interact) This allows reading binary data and more explicit control over how to decode the data.","breadcrumbs":"Language » Environment » Reading stdin input » Reading stdin input","id":"49","title":"Reading stdin input"},"5":{"body":"While Acton is a compiled language and the acton compiler produces an executable binary, script style execution is also possible through the use of a shebang line. Source: #!/usr/bin/env runacton actor main(env): print(\"Hello World!\") env.exit(0) Ensure the executable bit is set and run your .act file directly: chmod a+x hello.act\n./hello.act Output: Hello World!","breadcrumbs":"Getting started » Acton scripts » Shebang","id":"5","title":"Shebang"},"50":{"body":"For interactive programs, like a text editor, input is not fed into the program line by line, rather the program can react on individual key strokes. The default stdin mode is the canonical mode, which implies line buffering and that there are typically line editing capabilities offered that are implemented external to the Acton program. By setting stdin in non-canonical mode we can instead get the raw key strokes directly fed to us. actor main(env): def interact(input): print(\"Got some input:\", input) # Set non-canonical mode, so we get each key stroke directly env.set_stdin(canonical=False) # Turn off terminal echo env.set_stdin(echo=False) env.stdin_install(interact) We can also disable the echo mode with the echo option. The Acton run time system will copy the stdin terminal settings on startup and restore them on exit, so you do not need to manually restore terminal echo for example.","breadcrumbs":"Language » Environment » Interactive stdin input » Interactive stdin","id":"50","title":"Interactive stdin"},"51":{"body":"Acton modules can be used to hierarchically structure programs by splitting code into smaller logical units (modules). Import modules by using the import keyword. The module will be available with its fully qualified name. Use from .. import to import a single function from a module. Functions and modules can be aliased using the as keyword. import time\nimport time as timmy\nfrom time import now\nfrom time import now as rightnow actor main(env): time.now() # using the fully qualified name timmy.now() # using aliased module name now() # using the directly imported function rightnow() # using function alias env.exit(0) Remember, all state in an Acton program must be held by actors. There can be no mutable variables in an Acton module, only constants! Similarly, there can be no global instantiation code in a module.","breadcrumbs":"Language » Modules » Modules","id":"51","title":"Modules"},"52":{"body":"","breadcrumbs":"Standard library » Standard library","id":"52","title":"Standard library"},"53":{"body":"Source: import re actor main(env): m = re.match(r\"(foo[a-z]+)\", \"bla bla foobar abc123\") if m is not None: print(\"Got a match:\", m.group[1]) env.exit(0) Output: Got a match: foobar","breadcrumbs":"Standard library » Regular Expression » Regular expressions","id":"53","title":"Regular expressions"},"54":{"body":"Testing your code is a really good idea! While Acton's type system allows interfaces to be precisely defined, it is imperative that the behavior of a function or actor is tested! Test functions are automatically discovered by the compiler. Run tests with acton test. Import the testing module and name your test functions starting with _test. The type signature should match the test intended test category. Use the assertion functions available in the testing module. Here is a simple unit test: Source: import testing def _test_simple(): testing.assertEqual(1, 1) Run: acton test Output: Building project in /home/user/foo Compiling example.act for release Finished compilation in 0.016 s Final compilation step Finished final compilation step in 0.437 s Tests - module example: simple: OK: 1523 runs in 50.001ms All 1 tests passed (0.604s) There are 4 kinds of tests unit tests small simple tests of pure functions synchronous actor tests involving one or more actors, returning results synchronously asynchronous actor tests involving actors but use asynchronous callbacks for return values environment tests similar to async actor test in that a callback is used for the return value these tests have access to the full environment via the env argument and can thus communicate with the outside world this is a source of non-determinism so be mindful of this and try to avoid non-deterministic functions to the largest degree possible When possible, strive to use unit tests rather than actor based tests and strive to avoid env tests.","breadcrumbs":"Testing » Testing","id":"54","title":"Testing"},"55":{"body":"Source: import testing def _test_simple(): foo = 3+4 testing.assertEqual(7, foo) Run: acton test Output: Building project in /home/user/foo Compiling example.act for release Finished compilation in 0.016 s Final compilation step Finished final compilation step in 0.442 s Tests - module example: simple: OK: 1565 runs in 50.079ms All 1 tests passed (0.600s) Unit tests are a good starting point for testing small units of your program. Pure functions are deterministic and are thus preferable for tests over non-deterministic tests using actors. You are limited in what you can do though, since all called functions must be pure. The test discovery finds unit tests based on the name starting with _test_ and has a function signature of mut() -> None or pure() -> None. Note Once effect analysis has been improved in the compiler to contain scope local effects, the test discovery will only consider pure functions to be unit tests. See https://github.com/actonlang/acton/issues/1632","breadcrumbs":"Testing » Unit tests » Unit tests","id":"55","title":"Unit tests"},"56":{"body":"Source: import logging\nimport testing actor MathTester(): def add(a, b): return a + b actor SyncTester(log_handler): def test(): m = MathTester() testing.assertEqual(m.add(1, 2), 3, \"1 + 2 = 3\") def _test_syncact(log_handler: logging.Handler) -> None: \"\"\"A test using actors and synchronous control flow\"\"\" # We make use of an actor as the central point for running our test logic. # This _test_syncact function is just a wrapper picked up by the acton # test framework runner s = SyncTester(log_handler) return s.test() Run: acton test Output: Building project in /home/user/foo Compiling example.act for release Finished compilation in 0.027 s Final compilation step Finished final compilation step in 0.526 s Tests - module example: syncact: OK: 1175 runs in 50.005ms All 1 tests passed (0.655s) Since the Acton RTS is multi-threaded and actors are scheduled concurrently on worker threads, using actors imply a degree of non-determinism and so unlike unit tests, which are completely deterministic, actors tests are fundamentally non-deterministic. You can still write deterministic tests as long as you pay attention to how you construct your test results. For example, actor A might be scheduled before or after actor B so if the test relies on ordering of the output, it could fail or succeed intermittently. Interacting with the surrounding environment by reading files or communicating over the network introduces even more sources of non-determinism. Avoid it if you can. The test discovery finds synchronous actor tests based on the name starting with _test_ and has a function signature of mut(logging.Handler) -> None or pure(logging.Handler) -> None.","breadcrumbs":"Testing » Sync actor tests » Sync actor tests","id":"56","title":"Sync actor tests"},"57":{"body":"Source: import logging\nimport testing actor MathTester(): def add(a, b): return a + b actor AsyncTester(report_result, log_handler): log = logging.Logger(log_handler) def test(): log.info(\"AsyncTester.test()\", None) report_result(True, None) def _test_asyncact1(report_result: action(?bool, ?Exception) -> None, log_handler: logging.Handler) -> None: \"\"\"A test using actors and asynchronous control flow\"\"\" # We make use of an actor as the central point for running our test logic. # This _test_asyncact function is just a wrapper picked up by the acton # test framework runner s = AsyncTester(report_result, log_handler) s.test() Run: acton test Output: Building project in /home/user/foo Compiling example.act for release Finished compilation in 0.028 s Final compilation step Finished final compilation step in 0.516 s Tests - module example: asyncact1: OK: 1171 runs in 56.181ms All 1 tests passed (0.695s) If a particular module is written to be called asynchronously, you will need to use asynchronous tests to test it. The test discovery finds asynchronous actor tests based on the name starting with _test_ and has a function signature of proc(action(?bool, ?Exception) -> None, logging.Handler) -> None.","breadcrumbs":"Testing » Async actor tests » Async actor tests","id":"57","title":"Async actor tests"},"58":{"body":"When you need to test functionality that accesses the environment, you need an env test. Do beware of errors related to test setup though, since you now depend on the external environment. TCP ports that you try to listen to might be already taken. Files that you assume exist might not be there. Source: import logging\nimport testing actor EnvTester(report_result, env, log_handler): log = logging.Logger(log_handler) def test(): log.info(\"EnvTester.test()\", None) report_result(True, None) def _test_envtest1(report_result: action(?bool, ?Exception) -> None, env: Env, log_handler: logging.Handler) -> None: \"\"\"A test interacting with the environment\"\"\" # We make use of an actor as the central point for running our test logic. # This _test_envtest1 function is just a wrapper picked up by the acton # test framework runner s = EnvTester(report_result, env, log_handler) s.test() Run: acton test Output: Building project in /home/user/foo Compiling example.act for release Finished compilation in 0.023 s Final compilation step Finished final compilation step in 0.484 s Tests - module example: envtest1: OK: 1213 runs in 50.135ms All 1 tests passed (0.689s) The test discovery finds env actor tests based on the name starting with _test_ and has a function signature of proc(action(?bool, ?Exception) -> None, Env, logging.Handler) -> None.","breadcrumbs":"Testing » Env tests » Env tests","id":"58","title":"Env tests"},"59":{"body":"Tests can have tree different outcomes; success, failure and error. Success and failure are the two common cases where success is when the test meets the expected assertions and a failure is when it fails to meet a test assertion like testing.assertEqual(1, 2). We also distinguish a third case for test errors which is when a test does not run as expected, hitting an unexpected exception. This could indicate a design issue or that the test environment is not as expected. All test assertions raise exceptions inheriting from AssertionError which are considered test failures . Any other exception will be considered a test error . For example, if a test attempts to retrieve https://dummyjson.com/products/1 and check that the returned JSON looks a certain way, it would be a test failure if the returned JSON does not match the expected value. If we try to connect with an invalid URL, like htp:// we would get a different exception and that would be considered a test error . It's probably a bad idea to try to connect to something on the Internet in a test, so avoid that and other sources of non-determinism when possible.","breadcrumbs":"Testing » Failures vs errors » Failures vs errors","id":"59","title":"Failures vs errors"},"6":{"body":"Besides compiling individual .act files, it is possible to organize Acton code into an Acton Project , which is suitable once you have more than one .act source code file. Use acton to create a new project called foo: acton new foo Output: Created project foo\nEnter your new project directory with: cd foo\nCompile: acton build\nRun: ./out/bin/foo","breadcrumbs":"Getting started » Acton Projects » Acton Projects","id":"6","title":"Acton Projects"},"60":{"body":"Source: import random\nimport testing def _test_failure(): testing.assertEqual(1, 2) def _test_flaky(): i = random.randint(0, 2) if i == 0: return elif i == 1: testing.assertEqual(1, 2) else: raise ValueError(\"Random failure\") def _test_error() -> None: # Now we could never use a unit test to fetch things from the Internet # anyway, but it's just to show what the results look like raise ValueError() Run: acton test Output: Building project in /home/user/foo Compiling example.act for release Finished compilation in 0.020 s Final compilation step Finished final compilation step in 0.482 s Tests - module example: error: ERR: 454 errors out of 454 runs in 52.733ms ValueError: flaky: FLAKY FAIL: 231 failures out of 471 runs in 52.819ms testing.NotEqualError: Expected equal values but they are non-equal. A: 1 B: 2 failure: FAIL: 408 failures out of 408 runs in 52.837ms testing.NotEqualError: Expected equal values but they are non-equal. A: 1 B: 2 1 error and 2 failure out of 3 tests (0.691s) Unit tests are a good starting point for testing small units of your program. Pure functions are deterministic and are thus preferable for tests over non-deterministic tests using actors. You are limited in what you can do though, since all called functions must be pure.","breadcrumbs":"Testing » Failures vs errors » Unit tests","id":"60","title":"Unit tests"},"61":{"body":"Flaky tests are those that have different outcomes during different runs, i.e. they are not deterministic. To combat these, acton test will per default attempt to run tests multiple times to ensure that the result is the same. It runs as many test iterations as possible for at least 50ms. If a test is flaky, this will be displayed in the test output. Source: import random\nimport testing def _test_flaky(): i = random.randint(0, 2) if i == 0: return elif i == 1: testing.assertEqual(1, 2) else: raise ValueError(\"Random failure\") Run: acton test Output: Building project in /home/user/foo Compiling example.act for release Finished compilation in 0.017 s Final compilation step Finished final compilation step in 0.453 s Tests - module example: flaky: FLAKY FAIL: 565 failures out of 1140 runs in 50.043ms testing.NotEqualError: Expected equal values but they are non-equal. A: 1 B: 2 1 out of 1 tests failed (0.625s) Note Note how this test case is only made possible because the random module has incorrect effects. The type says it is pure while in reality, it is not. There is an issue to improve this by applying a proper effect to the random module, see https://github.com/actonlang/acton/issues/1729, after which this example needs to be rewritten.","breadcrumbs":"Testing » Flaky tests » Flaky tests","id":"61","title":"Flaky tests"},"62":{"body":"It is also possible to run tests in a performance mode , which uses the same basic test definitions (so you can run your tests both as logic test and for performance purposes) but alters the way in which the tests are run. In performance mode, only a single test will be run at a time unlike the normal mode in which many tests are typically run concurrently. To get good numbers in performance mode, it's good if test functions run for at least a couple of milliseconds. With very short tests, very small differences lead to very large percentage differences. Source: import testing def _test_simple(): a = 0 for i in range(99999): a += i Run: acton test perf Output: Building project in /home/user/foo Compiling example.act for release Finished compilation in 0.016 s Final compilation step Finished final compilation step in 0.451 s Tests - module example: simple: OK: 3.21ms Avg: 4.20ms 5.11ms 106 runs in 1005.261ms All 1 tests passed (1.571s) (note that the output is rather wide, scroll horizontally to see the full output)","breadcrumbs":"Testing » Performance testing » Performance testing","id":"62","title":"Performance testing"},"63":{"body":"When running in performance mode you can record a snapshot of performance using acton test perf --record. A perf_data file is written to disk with the stored performance data. Subsequent test runs will read this file and show a comparison. The difference is displayed as a percentage increase or decrease in time. Source: import testing def _test_simple(): a = 0 for i in range(99999): a += i Run: acton test perf --record\nacton test perf Output: Building project in /home/user/foo Compiling example.act for release Finished compilation in 0.017 s Final compilation step Finished final compilation step in 0.452 s Tests - module example: simple: OK: 3.25ms Avg: 4.16ms 7.38ms 122 runs in 1006.002ms All 1 tests passed (1.565s) Building project in /home/user/foo Compiling example.act for release Already up to date, in 0.000 s Final compilation step Finished final compilation step in 0.116 s Tests - module example: simple: OK: 3.23ms -0.50% Avg: 4.17ms +0.19% 6.35ms -13.91% 119 runs in 1001.375ms All 1 tests passed (1.215s) (note that the output is rather wide, scroll horizontally to see the full output)","breadcrumbs":"Testing » Perf comparison » Performance comparisons","id":"63","title":"Performance comparisons"},"64":{"body":"Acton is a compiled language and as such, outputs binary executables. It is possible to influence the compilation process in various ways.","breadcrumbs":"Build System » Compilation","id":"64","title":"Compilation"},"65":{"body":"The default target is somewhat conservative to ensure a reasonable amount of compatibility. On Linux, the default target is GNU Libc version 2.27 which makes it possible to run Acton programs on Ubuntu 18.04 and similar old operating systems. Similarly, a generic x86_64 CPU is assumed which means that newer extra CPU instruction sets are not used. To compile an executable optimized for the local computer, use --target native. In many cases it can lead to a significant faster program, often running 30% to 100% faster.","breadcrumbs":"Build System » Optimized for native CPU features","id":"65","title":"Optimized for native CPU features"},"66":{"body":"On Linux, executable programs can be statically linked using the Musl C library, which maximizes portability as there are no runtime dependencies at all. To compile an executable optimized for portability using musl on x86_64, use --target x86_64-linux-musl. A default compiled program is dynamically linked with GNU libc & friends $ actonc helloworld.act\nBuilding file helloworld.act Compiling helloworld.act for release Finished compilation in 0.013 s Final compilation step Finished final compilation step in 0.224 s\n$ ldd helloworld linux-vdso.so.1 (0x00007fff2975b000) libm.so.6 => /lib/x86_64-linux-gnu/libm.so.6 (0x00007f11f472a000) libpthread.so.0 => /lib/x86_64-linux-gnu/libpthread.so.0 (0x00007f11f4725000) libc.so.6 => /lib/x86_64-linux-gnu/libc.so.6 (0x00007f11f4544000) libdl.so.2 => /lib/x86_64-linux-gnu/libdl.so.2 (0x00007f11f453f000) /lib64/ld-linux-x86-64.so.2 (0x00007f11f4827000)\n$ A program linked statically towards Musl has no run time dependencies: $ actonc helloworld.act --target x86_64-linux-musl\nBuilding file helloworld.act Compiling helloworld.act for release Finished compilation in 0.013 s Final compilation step Finished final compilation step in 0.224 s\n$ ldd helloworld not a dynamic executable\n$ Although untested, static linking with musl should work on other CPU architectures. MacOS does not support static compilation.","breadcrumbs":"Build System » Statically linked executables using musl for portability","id":"66","title":"Statically linked executables using musl for portability"},"67":{"body":"Acton supports cross-compilation, which means that it is possible to run develop on one computer, say a Linux computer with an x86-64 CPU but build an executable binary that can run on a MacOS computer. Here's such an example. We can see how per default, the output is an ELF binary for x86-64. By setting the --target argument, actonc will instead produce an executable for a Mac. $ actonc --quiet helloworld.act\n$ file helloworld\nhelloworld: ELF 64-bit LSB executable, x86-64, version 1 (SYSV), dynamically linked, interpreter /lib64/ld-linux-x86-64.so.2, for GNU/Linux 2.0.0, with debug_info, not stripped\n$ actonc --quiet helloworld.act --target x86_64-macos-none\n$ file helloworld\nhelloworld: Mach-O 64-bit x86_64 executable, flags: It is not only possible to compile for other operating systems, but also for other CPU architectures. For example, use --target aarch64-macos-any to produce a binary executable for an Apple M1/M2 CPU.","breadcrumbs":"Build System » Cross-compilation","id":"67","title":"Cross-compilation"},"68":{"body":"Acton ships with prebuilt libraries for the local platforms default target, i.e. if you install Acton on a x86-64 Linux machine, it will have libraries prebuilt for x86_64-linux-gnu.2.27. The default target uses these prebuilt libraries which results in a fast build: $ actonc helloworld.act\nBuilding file helloworld.act Compiling helloworld.act for release Finished compilation in 0.013 s Final compilation step Finished final compilation step in 0.224 s\n$ When targeting something that is not the default target, the entire Acton system, including builtins, the run time system, the standard library and external library dependencies is built from source and can take a significant amount of time. The build process is highly parallelized and cached. For example, on an AMD 5950X with 16 cores / 32 threads, it takes around 7 seconds to do a complete rebuild for a small Acton program as can be seen here: $ actonc helloworld.act --target aarch64-macos-none\nBuilding file helloworld.act Compiling helloworld.act for release Finished compilation in 0.012 s Final compilation step Finished final compilation step in 6.847 s\n$","breadcrumbs":"Build System » Prebuilt libraries","id":"68","title":"Prebuilt libraries"},"69":{"body":"In an Acton project, there is a build cache, is is stored in a directory called build-cache in the project directory. The cache is always used for the project local files. If a non-default --target is being used, the built output of the Acton system is also stored in the cache, which means that it is only the first time around that it is slow. Any subsequent build is going to use the cache and run very fast. Like in this example, where the first invocation takes 6.120 seconds and the second one runs in 0.068 seconds. $ actonc new hello\nCreated project hello\nEnter your new project directory with: cd hello\nCompile: actonc build\nRun: ./out/bin/hello Initialized empty Git repository in /home/kll/hello/.git/\n$ cd hello/\n$ actonc build --target native\nBuilding project in /home/kll/hello Compiling hello.act for release Finished compilation in 0.012 s Final compilation step Finished final compilation step in 6.120 s\n$ actonc build --target native\nBuilding project in /home/kll/hello Compiling hello.act for release Already up to date, in 0.000 s Final compilation step Finished final compilation step in 0.068 s\n$ When compiling standalone .act files, there is no project and thus no persistent cache, so using a custom --target will always incur a penalty.","breadcrumbs":"Build System » Build cache","id":"69","title":"Build cache"},"7":{"body":"Use acton build to build a project. The current working directory must be the project directory or a sub-directory to the project directory. acton will discover all source files and compile them according to dependency order. Add a main actor to any source file directly under src/ to produce an executable binary. For example, if src/hello.act contains a main actor, it will produce out/bin/hello using main as the root actor.","breadcrumbs":"Getting started » Acton Projects » Description","id":"7","title":"Description"},"70":{"body":"acton offers integrated package management to declare dependencies on other Acton packages and automatically download them from their sources on the Internet. The guiding principle behind Actons package management is to strive for determinism, robustness and safety. This is primarily achieved by only resolving dependencies at design time. That is, it is the developer of a particular Acton package that determines its exact dependencies and not whomever might be downloading and building said package. The very identity of a package at a particular point in time, which can be thought of as the version of a package, is the hash of its content. This is the foundation of Actons package management. Each dependency has a hash of its content. A URL is just one place from which this particular version of a package can be downloaded. The hash of packages is determined and recorded at design time. Anyone pulling down and building dependencies will have the hash verified to ensure a deterministic build. There is no central package repository, instead dependencies are defined as URLs from which the dependency package can be downloaded. This is typically a tar.gz file from GitHub, GitLab or similar source hosting site. Again, the very identity of a version of a package is the conten hash. The URL is only from where to get it. Acton is statically compiled, all dependencies are fetched and included at compile time. There are no run time dependencies.","breadcrumbs":"Package Management » Package Management","id":"70","title":"Package Management"},"71":{"body":"Add a dependency to your project by using acton pkg add and providing the URL to the project and a local reference name. In this case we add the example foo package as a dependency. acton pkg add https://github.com/actonlang/foo/archive/refs/heads/main.zip foo This will fetch the dependency and add it to the build.act.json file of your local project, resulting in something like: { \"dependencies\": { \"foo\": { \"url\": \"https://github.com/actonlang/foo/archive/refs/heads/main.zip\", \"hash\": \"1220cd47344f8a1e7fe86741c7b0257a63567b4c17ad583bddf690eedd672032abdd\" } }, \"zig_dependencies\": {}\n} Note It is possible to edit build.act.json by hand, but adding dependencies, which requires filling in the 'hash' field requires computing the hash which is somewhat tricky. The foo package provides a single foo module with a foo function (that appropriately returns foo). We can now access it from our main actor: import foo actor main(env): print(foo.foo()) env.exit(0)","breadcrumbs":"Package Management » Add Dependency » Add Dependency","id":"71","title":"Add Dependency"},"72":{"body":"It is possible to use dependencies available via a local file system path by setting the path attribute. Edit build.act.json and add or modify an existing dependency. Set the path attribute to a relative path on the local file system, e.g.: { \"dependencies\": { \"foo\": { \"url\": \"https://github.com/actonlang/foo/archive/refs/heads/main.zip\", \"hash\": \"1220cd47344f8a1e7fe86741c7b0257a63567b4c17ad583bddf690eedd672032abdd\", \"path\": \"../foo\" }, \"local_lib\": { \"path\": \"deps/local_lib\" } }, \"zig_dependencies\": {}\n} Note Setting a local path will take priority over a remote url. This can be useful to fork a library and make local modifications to it before submitting them back upstream.","breadcrumbs":"Package Management » Local Dependencies » Local Dependencies","id":"72","title":"Local Dependencies"},"73":{"body":"You can remove a dependency from your project with acton pkg remove: acton pkg remove foo","breadcrumbs":"Package Management » Remove Dependency » Remove Dependency","id":"73","title":"Remove Dependency"},"74":{"body":"You can fetch all the dependencies of a project by using acton fetch. It will download the dependencies specified in build.act.json to the cache. acton fetch enables you to work offline (a.k.a airplane mode ).","breadcrumbs":"Package Management » Fetch Deps (Airplane mode) » Fetch Dependencies / Enable Airplane Mode","id":"74","title":"Fetch Dependencies / Enable Airplane Mode"},"75":{"body":"Much like dependencies on other Acton packages, an Acton project can depend on a Zig package which could be a C / C++ or Zig library, as long as it has a build.zig file. acton zig-pkg add URL NAME --artifact X --artifact Y list the libraries you want to link with as artifacts acton zig-pkg remove NAME Example acton zig-pkg add https://github.com/allyourcodebase/zlib/archive/refs/tags/1.3.1.tar.gz zlib --artifacts z { \"dependencies\": {}, \"zig_dependencies\": { \"zlib\": { \"url\": \"https://github.com/allyourcodebase/zlib/archive/refs/tags/1.3.1.tar.gz\", \"hash\": \"122034ab2a12adf8016ffa76e48b4be3245ffd305193edba4d83058adbcfa749c107\", \"artifacts\": [ \"z\" ] } }\n}","breadcrumbs":"Package Management » Zig / C / C++ dependencies » C / C++ / Zig dependencies","id":"75","title":"C / C++ / Zig dependencies"},"76":{"body":"","breadcrumbs":"Security and Trust » Security and Trust (or the lack thereof)","id":"76","title":"Security and Trust (or the lack thereof)"},"77":{"body":"Acton has C ABI compatibility which makes it trivial to call C functions and fairly simply to call Zig and C++ using C wrapping functions. If you want to integrate a library written in one of these languages, this page is for you. Regardless of the foreign language used, we need to consider a few things: memory allocation, it must play well with the Acton GC You can allocate memory via classic malloc or via Acton GC malloc acton_malloc - normal malloc acton_malloc_atomic for allocations that are guaranteed to not contain pointers Better safe than sorry, use the GC-malloc when in doubt Always use Acton GC malloc for actor and class attributes and similar object and actor instances are garbage collected by the GC and there is no destructor function, so if you would have used class malloc there is no good place for the free Within pure functions, you can use class malloc - be sure to free the allocations before return of the function, even for error paths thread safety, the Acton RTS is threaded and actors are concurrently executed by different threads in general, we strive to only keep data per actor and since an actor executes sequentially, we do not need thread safety measures like locks - just make sure you don't try to share data between actors \"under the hood\" libraries must not use global variables though asynchronous I/O, the Acton RTS performs asynchronous I/O and any other library that performs I/O need to conform to this model","breadcrumbs":"Working with Zig / C / C++ » Working with Zig / C / C++","id":"77","title":"Working with Zig / C / C++"},"78":{"body":"This is a guide to integrating C libraries in Acton code. We will use the zlib compression library, written in C, to build an Acton module that supports zlib compression and decompression. We will only focus on the inflate and deflate functions in zlib. They are pure functions (meaning they only take some input and return some output, they do not have any side effects like writing to some shared state), that makes them easier to integrate than anything that does I/O. While zlib does expose functions to interact with files, we don't want to reimplement file related functionality since we already have this supported by the Acton stdlib.","breadcrumbs":"Working with Zig / C / C++ » Integrating a C library (zlib) » Integrating a C library (zlib)","id":"78","title":"Integrating a C library (zlib)"},"79":{"body":"Let's start by making a new Acton project, let's call it acton-zlib. New projects are created with an example \"Hello world\" app. Let's remove it and start from scratch. acton new acton-zlib\ncd acton-zlib\nrm src/*","breadcrumbs":"Working with Zig / C / C++ » Integrating a C library (zlib) » Create new project","id":"79","title":"Create new project"},"8":{"body":"Writing tests is an integral part of writing software. In an Acton project, you can run all the tests by issuing acton test: foo@bar:~hello$ acton test Tests - module hello: foo: OK: 278 runs in 50.238ms All 1 tests passed (23.491s) foo@bar:~hello$ See the Testing section on how to write tests.","breadcrumbs":"Getting started » Running Tests » Running Tests","id":"8","title":"Running Tests"},"80":{"body":"The Acton compiler parses .act source code, runs through all its compilation passes with type checking, CPS conversion, lambda lifting etc and finally produces C code. Internally, Acton then uses the Zig build system to compile the generated C code to libraries and finally binary executables. To add a C library dependency, it first needs to be buildable using the Zig build system, which means that it needs a build.zig file, the config file for the Zig build, somewhat similar to the CMakeLists.txt of CMake. Some projects have already adopted a build.zig in the upstream repo, like PCRE2 and the Boehm-Demers-Weiser GC (both of which are used by Acton). In some cases, there are forks of projects with build.zig added. Otherwise you will need to write one for yourself, which is usually simpler than it might first seem.","breadcrumbs":"Working with Zig / C / C++ » Integrating a C library (zlib) » Acton's low level build system - the Zig build system","id":"80","title":"Acton's low level build system - the Zig build system"},"81":{"body":"In the case of zlib, there is already a repo available with a build.zig for zlib . Navigate to the Tags page, find 1.3.1 and the link to the source files, i.e. https://github.com/allyourcodebase/zlib/archive/refs/tags/1.3.1.tar.gz. Add it to our acton-zlib project: acton zig-pkg add https://github.com/allyourcodebase/zlib/archive/refs/tags/1.3.1.tar.gz zlib --artifact z Note the --artifact z which is provided to instruct which library to link with. Headers from the zlib library, like zlib.h, will now become visible to C files in our project and the z library will be linked in with our executables. The easiest way to discover what the artifacts are called is by inspecting the build.zig file of the package. This particular zlib build.zig starts like this: const std = @import(\"std\"); pub fn build(b: *std.Build) void { const upstream = b.dependency(\"zlib\", .{}); const lib = b.addStaticLibrary(.{ .name = \"z\", .target = b.standardTargetOptions(.{}), .optimize = b.standardOptimizeOption(.{}), }); lib.linkLibC(); lib.addCSourceFiles(.{ .root = upstream.path(\"\"), .files = &.{ \"adler32.c\", \"crc32.c\",\n... It is the .name argument to addStaticLibrary that tells us the name of the artifact. Zig packages might expose multiple such artifacts, as is the case for mbedtls . acton zig-pkg add will fetch the package from the provided URL and save the hash sum to build.act.json, resulting in: { \"dependencies\": {}, \"zig_dependencies\": { \"zlib\": { \"url\": \"https://github.com/allyourcodebase/zlib/archive/refs/tags/1.3.1.tar.gz\", \"hash\": \"122034ab2a12adf8016ffa76e48b4be3245ffd305193edba4d83058adbcfa749c107\", \"artifacts\": [ \"z\" ] } }\n}","breadcrumbs":"Working with Zig / C / C++ » Integrating a C library (zlib) » Add the zlib C library as a Zig dependency","id":"81","title":"Add the zlib C library as a Zig dependency"},"82":{"body":"Next up we need to create the Acton zlib module. Open src/zlib.act and add a compress and decompress function: pure def compress(data: bytes) -> bytes: NotImplemented pure def decompress(data: bytes) -> bytes: NotImplemented The NotImplemented statement tells the compiler that the implementation is not written in Acton but rather external. When there is a .ext.c file, the compiler expects it to contain the implementations for the NotImplemented functions. Also note the explicit types. Normally the Acton compiler can infer types, but since there is no Acton code here, only C code, there is nothing to infer from. Now create src/zlib.ext.c which is where we will do the actual implementation of these functions. We need to add a __ext_init__ function, which runs on module load by the Acton RTS, which must always exist. There is nothing to do in particular for zlib so let's just create an empty function, like so: void zlibQ___ext_init__() {} Next, we need to fill in the C functions that map to the Acton functions compress and decompress. By invoking acton build we can get the compiler to generate a skeleton for these. We will also get a large error message, since there is no actual implementation: user@host$ acton build\n... some large error message Ignore the error and instead check the content of out/types/zlib.c and we will find the C functions we need, commented out: #include \"rts/common.h\"\n#include \"out/types/zlib.h\"\n#include \"src/zlib.ext.c\"\nB_bytes zlibQ_compress (B_bytes data);\n/*\nB_bytes zlibQ_compress (B_bytes data) { // NotImplemented\n}\n*/\nB_bytes zlibQ_decompress (B_bytes data);\n/*\nB_bytes zlibQ_decompress (B_bytes data) { // NotImplemented\n}\n*/\nint zlibQ_done$ = 0;\nvoid zlibQ___init__ () { if (zlibQ_done$) return; zlibQ_done$ = 1; zlibQ___ext_init__ ();\n} Copy the commented-out skeleton into our own src/zlib.ext.c. Just in order to get something that compiles, let's just quickly let the functions return the input data. Since both input and output are bytes, this should now compile (and work at run time). B_bytes zlibQ_compress (B_bytes data) { return data;\n}\nB_bytes zlibQ_decompress (B_bytes data) { return data;\n} user@host:~/acton-zlib$ acton build\nBuilding project in /Users/user/acton-zlib Compiling zlib.act for release Finished compilation in 0.005 s Compiling test_zlib.act for release Finished compilation in 0.019 s Final compilation step\nuser@host:~/acton-zlib$","breadcrumbs":"Working with Zig / C / C++ » Integrating a C library (zlib) » Create zlib.act Acton module","id":"82","title":"Create zlib.act Acton module"},"83":{"body":"Before we implement the body of the compress and decompress functions, we can write a small test module which will tell us when we've succeeded. We use some pre-known test data (which we could get from another language implementation): import testing\nimport zlib def _test_roundtrip(): for x in range(100): i = \"hello\".encode() c = zlib.compress(i) d = zlib.decompress(c) testing.assertEqual(i, d) def _test_compress(): for x in range(100): i = \"hello\".encode() c = zlib.compress(i) testing.assertEqual(c, b'x\\x9c\\xcbH\\xcd\\xc9\\xc9\\x07') def _test_decompress(): for x in range(1000): c = b'x\\x9c\\xcbH\\xcd\\xc9\\xc9\\x07' d = zlib.decompress(c) testing.assertEqual(d, b'hello') Note how we run a few test iterations to get slightly better timing measurements for performance testing. Run the test with acton test: user@host:~/acton-zlib$ acton test Tests - module test_zlib: decompress: FAIL: 195 runs in 50.728ms testing.NotEqualError: Expected equal values but they are non-equal. A: b'x\\x9c\\xcbH\\xcd\\xc9\\xc9\\x07' B: b'hello' compress: FAIL: 197 runs in 50.886ms testing.NotEqualError: Expected equal values but they are non-equal. A: b'hello' B: b'x\\x9c\\xcbH\\xcd\\xc9\\xc9\\x07' roundtrip: OK: 226 runs in 50.890ms 2 out of 3 tests failed (26.354s) user@host:~/acton-zlib$ As expected, the roundtrip test goes through, since we just return the input data while the compress and decompress tests fail.","breadcrumbs":"Working with Zig / C / C++ » Integrating a C library (zlib) » Add a test module","id":"83","title":"Add a test module"},"84":{"body":"Now let's fill in the rest of the owl. Below is the body of the zlibQ_compress function. The bulk of this code is not particularly interesting to this guide as it has more to do with standard C usage of zlib, but a few things are worth noting. B_bytes zlibQ_compress(B_bytes data) { if (data->nbytes == 0) { return data; } // Prepare the zlib stream int ret; z_stream stream; memset(&stream, 0, sizeof(stream)); ret = deflateInit(&stream, Z_DEFAULT_COMPRESSION); if (ret != Z_OK) { $RAISE((B_BaseException)$NEW(B_ValueError, to$str(\"Unable to compress data, init error: %d\", ret))); } // Set the input data stream.avail_in = data->nbytes; stream.next_in = (Bytef*)data->str; // Allocate the output buffer using Acton's malloc size_t output_size = deflateBound(&stream, data->nbytes); Bytef* output_buffer = (Bytef*)acton_malloc_atomic(output_size); stream.avail_out = output_size; stream.next_out = output_buffer; // Perform the deflate operation ret = deflate(&stream, Z_FINISH); if (ret != Z_STREAM_END) { $RAISE((B_BaseException)$NEW(B_ValueError, $FORMAT(\"Unable to compress data, error: %d\", ret))); } // Clean up deflateEnd(&stream); return actBytesFromCStringNoCopy(output_buffer);\n} Memory management is always top of mind when writing C, as it the case here. We can allocate memory via the Acton GC-heap malloc or just plain malloc() (the non-GC heap, to be explicit). Since zlibQ_compress is pure, we have no state leaking out of the function other than via its return value. All return values must be allocated on the Acton GC heap, so we know we must use acton_malloc for any value that we return. Any other local variables within the function can use classic malloc, as long as we make sure to explicitly free it up. For class or actor methods, any allocation for class or actor attributes must be performed using the Acton GC malloc, since there is no destructor or similar where a free can be inserted, so using classic malloc would be bound to leak. Also note that in this particular case, we know that the returned bytes value itself is not going to contain any pointers, so by using acton_malloc_atomic we can get a chunk of memory that will not be internally scanned by the GC, which saves a bit of time and thus improves GC performance. 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Acton is a advanced general purpose programming language offering functional and object-oriented style of programming based on the actor -model and async I/O. Type safe and with capabilities based security, Acton is statically compiled for high performance and portability . In other words, pretty much perfect ;) We hope you enjoy it as much as we do. It's readily available to build anything from advanced \"shell scripts\" to low level databases. Unique among programming languages, Acton offers orthogonal persistence , which means you don't have to think about how to persist data, or rather the state of your program, for durability. Acton will do it for you, using its fault-tolerant distribute database. Pretty damn cool!","breadcrumbs":"Getting started","id":"0","title":"Getting started"},"1":{"body":"We follow tradition and introduce Acton with the following minimal example Source: # This is a comment, which is ignored by the compiler. # An actor named 'main' is automatically discovered and recognized as the root # actor. Any .act file with a main actor will be compiled into a binary # executable and the main actor becomes the starting point.\nactor main(env): print(\"Hello World!\") env.exit(0) Compile and run: acton hello.act\n./hello Output: Hello World!","breadcrumbs":"Getting started » Hello World » Hello World","id":"1","title":"Hello World"},"10":{"body":"Acton supports a plethora of primitive data types. int integers, like 1, 2, 123512, -6542 or 1267650600228229401496703205376 int is arbitrary precision and can grow beyond machine word sizes i16 is a fixed size signed 16 bit integer i32 is a fixed size signed 32 bit integer i64 is a fixed size signed 64 bit integer u16 is a fixed size unsigned 16 bit integer u32 is a fixed size unsigned 32 bit integer u64 is a fixed size unsigned 64 bit integer float 64 bit float, like 1.3 or -382.31 bool boolean, like True or False str strings, like foo strings support Unicode characters lists like [1, 2, 3] or [\"foo\", \"bar\"] dictionaries like {\"foo\": 1, \"bar\": 3} tuples like (1, \"foo\") sets like {\"foo\", \"bar\"} In Acton, mutable state can only be held by actors. Global definitions in modules are constant. Assigning to the same name in an actor will shadow the global variable. Source: foo = 3 # this is a global constant and cannot be changed def printfoo(): print(\"global foo:\", foo) # this will print the global foo actor main(env): # this sets a local variable with the name foo, shadowing the global constant foo foo = 4 print(\"local foo, shadowing the global foo:\", foo) printfoo() a = u16(1234) print(\"u16:\", a) env.exit(0) Output: local foo, shadowing the global foo: 4\nglobal foo: 3\nu16: 1234","breadcrumbs":"Language » Variable data types » Variable data types","id":"10","title":"Variable data types"},"11":{"body":"Source: actor main(env): i = 42 # an integer f = 13.37 # a float print(i) print(f) s = \"Hello\" # a string print(s) # a slice of a string print(s[0:1]) b = True # a boolean print(b) env.exit(0) Compile and run: actonc scalars.act\n./scalars Output: 42\n13.37\nHello\nH\nTrue","breadcrumbs":"Language » Variable data types » Scalars » Scalars","id":"11","title":"Scalars"},"12":{"body":"Source: from math import pi actor main(env): # round to 2 decimals a = round(pi, 2) # print 4 digits of pi print(\"%.4f\" % pi) env.exit(0) Output: 3.1416","breadcrumbs":"Language » Variable data types » Scalars » float » float","id":"12","title":"float"},"13":{"body":"Source: actor main(env): l = [\"foo\", \"foo\"] l.append(\"bar\") l.insert(0, \"Firsty\") l.append(\"banana\") # Indexing starts at 0 print(\"First item: \" + l[0]) # Negative index counts from the end print(\"Last item : \" + l[-1]) # Note how we need to explicitly cast the list to str before printing print(\"List items: \" + str(l)) # We can take a slice of a list with [start:stop] where the start index is # inclusive but the stop index is exclusive, just like in Python. # A slice of a list is also a list, so cast to str. print(\"A slice : \" + str(l[2:4])) print(\"Pop first item:\", l.pop(0)) print(\"Pop last item:\", l.pop(-1)) print(\"List items:\", str(l)) # Extend a list by adding another list to it l.extend([\"apple\", \"orange\"]) print(\"List items:\", str(l)) unsorted_list = [9, 5, 123, 14, 1] sl = sorted(unsorted_list) print(\"Sorted list\", str(sl)) # Reverse a list inplace l.reverse() print(\"Reversed:\", l) # Get a shallow copy of the list l2 = l.copy() print(\"Copy:\", l2) # Clear list l.clear() print(\"List after clear:\", str(l)) env.exit(0) Compile and run: actonc lists.act\n./lists Output: First item: Firsty\nLast item : banana\nList items: ['Firsty', 'foo', 'foo', 'bar', 'banana']\nA slice : ['foo', 'bar']\nPop first item: Firsty\nPop last item: banana\nList items: ['foo', 'foo', 'bar']\nList items: ['foo', 'foo', 'bar', 'apple', 'orange']\nSorted list [1, 5, 9, 14, 123]\nReversed: ['orange', 'apple', 'bar', 'foo', 'foo']\nCopy: ['orange', 'apple', 'bar', 'foo', 'foo']\nList after clear: [] All items in a list must be of the same type It is not allowed to mix, like [\"foo\", 1] leads to a compiler error","breadcrumbs":"Language » Variable data types » Lists » Lists","id":"13","title":"Lists"},"14":{"body":"Source: actor main(env): d = {\"foo\": 1, \"bar\": 2} d[\"cookie\"] = 3 print(\"Dict: \" + str(d)) print(\"len : \" + str(len(d))) print(\"item foo: \" + str(d[\"foo\"])) print(\"item foo: \" + str(d.get(\"foo\", \"default\"))) print(\"get default value when key nonexistent: \" + str(d.get(\"foobar\", \"DEF_val\"))) d[\"bar\"] = 42 del d[\"foo\"] print(\"Dict: \" + str(d)) print(\"Dict keys: \" + str(list(d.keys()))) print(\"Dict values: \" + str(list(d.values()))) print(\"Dict items:\") for k, v in d.items(): print(\" dict key \" + k + \"=\" + str(v)) print(\"Pop last item:\", d.popitem()) print(\"Dict after .popitem():\", d) # Get a shallow copy of a dict. Note the use of .items() to get keys and values new_d = dict(d.items()) env.exit(0) Compile and run: actonc dicts.act\n./dicts Output: Dict: {\"foo\":1, \"bar\":2, \"cookie\":3}\nlen : 3\nitem foo: 1\nitem foo: 1\nget default value when key nonexistent: DEF_val\nDict: {\"bar\":42, \"cookie\":3}\nDict keys: [\"bar\", \"cookie\"]\nDict values: [42, 3]\nDict items: dict key bar=42 dict key cookie=3\nPop last item: (\"cookie\", 3)\nDict after .popitem(): {\"bar\":42}","breadcrumbs":"Language » Variable data types » Dictionaries » Dictionaries","id":"14","title":"Dictionaries"},"15":{"body":"Source: actor main(env): # Items in a tuple can be of different types t = (\"foo\", 42) # Fields are accessed by their index and using field / attribute selection style: print(t) print(t.0) print(t.1) # Tuples can use named fields nt = (a=\"bar\", b=1337) print(nt) print(nt.a) print(nt.b) r = foo() if r.b: print(r.c) env.exit(0) def foo() -> (a: str, b: bool, c: int): \"\"\"A function that returns a tuple with fields name a and b \"\"\" return (a = \"hello\", b=True, c=123) Compile and run: actonc sets.act\n./sets Output: ('foo', 42)\nfoo\n42\n('bar', 1337)\nbar\n1337\n123 fields in a tuple can be of different types tuples have a fixed fields tuples with named fields is like an anonymous data class, i.e. the data type itself has no name tuples with named fields can be used like a simple record type","breadcrumbs":"Language » Variable data types » Tuples » Tuples","id":"15","title":"Tuples"},"16":{"body":"Source: actor main(env): # set syntax is similar to dicts using {} but without keys s = {\"foo\", \"bar\"} # Although for an empty set, {} cannot be used as it means an empty dict # (and it is impossible to distinguish between the two from syntax alone). # Use set() to create an empty set. empty_set = set() print(\"Set content:\", s) if \"foo\" in s: print(\"'foo' is in the set\") if \"a\" not in s: print(\"'a' is not in the set\") # Adding an item that is already in the set does nothing s.add(\"foo\") print(\"Set without duplicate 'foo':\", s) s.add(\"a\") print(\"Set after adding 'a':\", s) if \"a\" in s: print(\"'a' is in the set now\") print(\"Entries in set:\", len(s)) s.discard(\"foo\") print(\"Set after discarding 'foo':\", s) # Add all items from another set or some other iterable s.update({\"x\", \"y\", \"z\"}) print(s) env.exit(0) Compile and run: acton sets.act\n./sets Output: Building project in /home/user/foo Compiling example.act for release Finished compilation in 0.032 s Final compilation step Finished final compilation step in 0.701 s\nSet content: {'bar', 'foo'}\n'foo' is in the set\n'a' is not in the set\nSet without duplicate 'foo': {'bar', 'foo'}\nSet after adding 'a': {'bar', 'a', 'foo'}\n'a' is in the set now\nEntries in set: 3\nSet after discarding 'foo': {'bar', 'a'}\n{'x', 'bar', 'a', 'y', 'z'}","breadcrumbs":"Language » Variable data types » Sets » Sets","id":"16","title":"Sets"},"17":{"body":"Functions are declared using the def keyword. Use return foo to return variable foo. If no return keyword is used or a lone return without argument is given, the function will return None. Source: def multiply(a, b): print(\"Multiplying\", a, \"with\", b) return a*b actor main(env): result = multiply(3, 4) print(\"Result:\", result) env.exit(0) Output: Multiplying 3 with 4\nResult: 12","breadcrumbs":"Language » Functions » Functions","id":"17","title":"Functions"},"18":{"body":"Actor methods are declared under an actor using the def keyword. An actor method runs in the context of the actor and can access its private state. As Actors are sequential processes, calling other methods on the local actor or any function is going to be run sequentially. Calling an actor method on the local actor can be done simply by calling it by its name, without any prefix such as self.. All actor methods are public. Call a method on another actor by calling actor_name.method_name(). Calling methods on other actors can be done synchronously or asynchronously . Source: def multiply(a, b): print(\"Multiplying\", a, \"with\", b) return a*b actor main(env): var secret = 42 def compute(a): print(\"Computing result based on our secret\", secret) res = multiply(a, secret) return res result = compute(3) print(\"Result:\", result) env.exit(0) Output: Computing result based on our secret 42\nMultiplying 3 with 42\nResult: 126","breadcrumbs":"Language » Functions » Actor methods » Actor methods","id":"18","title":"Actor methods"},"19":{"body":"Acton supports higher order functions which means you can pass a function as an argument to another function. Source: def multiply_with_3(a): print(\"Multiplying with 3\") return 3*a def multiply_with_42(a): print(\"Multiplying with 42\") return 42*a def compute(a, fun): \"\"\"Compute value from a using function fun\"\"\" return fun(a) actor main(env): print( compute(7, multiply_with_3) ) print( compute(7, multiply_with_42) ) env.exit(0) Output: Multiplying with 3\n21\nMultiplying with 42\n294","breadcrumbs":"Language » Functions » Higher order functions » Higher order functions","id":"19","title":"Higher order functions"},"2":{"body":"When an Acton program runs, it really consits of a collection of actors that interact with each other. In the above example, we have just a single actor, which has been given the name main and that acts as the root actor of our system. The root actor of a system takes a parameter env, which represents the execution environment. env has methods for accessing command line arguments and carries a reference to the capabilities of the surrounding world, WorldCap, for accessing the environment, e.g. reading from and writing to keyboard/screen and files, working with sockets etc.","breadcrumbs":"Getting started » Hello World » Description","id":"2","title":"Description"},"20":{"body":"Every value in Acton is of a certain data type , which tells Acton what kind of data is being specified so it knows how to work with the data. Acton is a statically typed language, which means the type of all values must be known when we compile the program. Unlike many traditional languges like Java or C++, where types must be explicitly stated everywhere, we can write most Acton programs without types. The Acton compiler features a powerful type inferencer which will infer the types used in the program. This program does not have any explicit types specified. Source: def foo(a, b): if a > 4: print(len(b)) actor main(env): i1 = 1234 # inferred type: int s1 = \"hello\" # inferred type: str foo(i1, s1) env.exit(0) To see the inferred types of an Acton program, use the --sigs option of the compiler. As the name suggests, this will print out the type signatures for functions, actors and their attributes and methods in the specified Acton module. Print type signatures with --sigs: actonc types.act --sigs Output: #################################### sigs: foo : [A(Ord, Number)] => (A, Collection[B]) -> None actor main (Env): i1 : int s1 : str Acton implements the Hindley-Milner (HM) type system, which is common in languages with static types, like Haskell and Rust. Acton extends further from HM to support additional features.","breadcrumbs":"Language » Types » Types","id":"20","title":"Types"},"21":{"body":"It is possible to explicitly specify the types of variables or arguments in a function. The syntax is similar to type hints in Python. Source: # 'a: int' means the first argument `a` should be of type int\n# 'b: str means the second argument `b` should be of type str\n# The function returns nothing\ndef foo(a: int, b: str) -> None: print(a, b) # A functions type signature can also be written on a separate line\nbar : (int, str) -> None\ndef bar(a, b): print(a, b) actor main(env): # i1 is explicitly specified as an integer while s1 is a str i1 : int = 1234 s1 : str = \"hello\" foo(i1, s1) bar(i1, s1) # The literal value 1234 is an integer, so when we assign it to i2, the # compiler can easily infer that the type of i2 is int. Similarly for s2 # since the literal value \"hello\" is clearly a string i2 = 1234 s2 = \"hello\" foo(i2, s2) bar(i2, s2) env.exit(0) Compile and run: actonc types.act\n./types Output: 1234 hello\n1234 hello\n1234 hello\n1234 hello Try changing the type of i1 or s1 and you will find that the compiler complains that it cannot solve the type constraints of the program.","breadcrumbs":"Language » Types » Explicit types » Explicit types","id":"21","title":"Explicit types"},"22":{"body":"Sometimes we want to be able to work with any type. We call such types generic types . For example, the builtin list type in Acton can store any other type, so we say it is a list of A, where A is a generic type (from the specification in Acton builtins): class list[A] (object): ... def pop(self, n :?int=-1) -> A: \"\"\"Pop and return an item from the list\" [A] says A is a generic type. And for example, the pop() function on list returns an element of type A. class list[A] (object): ^^^ --- generic types are written here, between [] A is a generic type used in `class list` def pop(self, n :?int) -> A: ^--- list.pop returns an item of type A","breadcrumbs":"Language » Types » Generics » Generic Types","id":"22","title":"Generic Types"},"23":{"body":"Acton supports the object-oriented paradigm, which means that it provides features to create classes and objects, which are instances of classes. Classes are a fundamental concept in an object-oriented world and they allow programmers to create their own data types with their own attributes and methods. A class is defined using the class keyword followed by the name of the class. The convention is to use CamelCase for class names. class Circle(object): radius: float def __init__(self, radius): self.radius = radius def diameter(self): return self.radius * 2 Attributes are variables that hold data for an object of a particular class and methods are functions that operate on that data. In the above example, radius is an attribute of the Circle class and diameter() is a method that returns the diameter. Class methods must have self as the first argument, which refers to the object instance of the class that the method is called on.","breadcrumbs":"Language » Classes » Classes and Objects","id":"23","title":"Classes and Objects"},"24":{"body":"A Class is like a blueprint and an object is an instance of such a blueprint. To create an object, or \"instantiate\", we use the \"blueprint\" (class), like so: circle = Circle(3.14) Here we create the object circle from the class Circle, passing the parameter 3.14 which will be used to set the radius attribute of the object. print(circle.diameter()) And here we print the diameter of the circle by calling the .diameter() method.","breadcrumbs":"Language » Classes » Creating an object","id":"24","title":"Creating an object"},"25":{"body":"Inheritance is a way of creating a new class from an existing class. The new class is called the derived class and the existing class from which we inherit is called the base class. The derived class inherits all the attributes and methods of the base class. The derived class can extend the base class by adding more attributes or methods. It is also possible to override methods to create more specific functionality. We add the area() to Circle to get the area and realize that the unlike the diameter, area is common for all gemetric shapes. Thus we create a base class Shape that defines the area() method, but does not implement it since there is no generic way to compute the area for all shapes. Each concrete class, like Circle and Square, should implement area(). Source: class Shape(object): def area(self) -> float: raise NotImplementedError(\"This method should be overridden by subclasses\") class Circle(Shape): radius: float def __init__(self, radius): self.radius = radius def diameter(self): return self.radius * 2 def area(self): return 3.14 * self.radius ** 2 class Square(Shape): def __init__(self, side: float): self.side = side def area(self) -> float: return self.side ** 2 actor main(env): circle = Circle(3.14) square = Square(3.14) print(circle.area() + square.area()) env.exit(0) Inheritance is one of the primary methods, if not the primary method, of structuring programs in the object oriented paradigm. Shape is an abstract class because it has no __init__ method.","breadcrumbs":"Language » Classes » Inheritance » Class Inheritance","id":"25","title":"Class Inheritance"},"26":{"body":"Protocols defines functionality in an abstract way that can be implemented by many classes. Class and class inheritance is a good tool for structuring data and behavior. However, sometimes there is no clear parent / child relationship between classes, in which case using a protocol might be a more suitable choice. Perhaps the simplest example is the Eq protocol, that defines equality between two objects, from the Acton builtins. Classes do not need to have any common inheritance in order to support equality. protocol Eq: @staticmethod __eq__ : (Self,Self) -> bool The __eq__ method takes two arguments, itself and the other object to compare with and returns True or False. Both arguments are of the same type Self, which means we can only compare two objects that are of the same type. It can be any type, as long as its the same type. extension Circle (Eq): def __eq__(self, other): return self.radius == other.radius Protocols allows us to express the requirement for a (generic) type to implement some particular functionality. Let's say we have a function that compares two objects. def comparator(a, b): print(\"Things:\", a, b) print(\"Are they equal?\", a == b) We know that a and b must implement the Eq protocol and they must be of the same type. Let's see what the compiler constraint solver says: acton --sigs generic.act == sigs: generic ================================ comparator : [A(Eq)] => (a: A, b: A) -> None\n================================================= The type has been inferred to a generic type A that must implement the Eq protocol, which is written as A(Eq). We can write this explicitly: def comparator[A(Eq)](a: A, b: A): print(\"Things:\", a, b) print(\"Are they equal?\", a == b)","breadcrumbs":"Language » Protocols » Protocols","id":"26","title":"Protocols"},"27":{"body":"Method dispatch and Method Resolution Order (MRO) is about picking a particular implementation of a method when there are multiple to pick from. For class inheritance, it is pretty straight forward, the method used will always be that of the actual class. For protocols, it is not as simple. Dispatch of methods for protocols is based on the observed type, which can be somewhat surprising. Here are two classes, the base class Point and the dervied class Point3D (which inherits from Point). Each implement the Eq protocol. class Point(object): def __init__(self, x: int, y: int): self.x = x self.y = y extension Point (Eq): def __eq__(self, other): return self.x == other.x and self.y == other.y class Point3D(Point): def __init__(self, x: int, y: int, z: int): self.x = x self.y = y self.z = z extension Point3D (Eq): def __eq__(self, other): return self.x == other.x and self.y == other.y and self.z == other.z def comparator(a: Point, b: Point) -> bool: return a == b actor main(env): # p1 and p2 are actually different in z. If seen as a 2D point, they appear # equal since the x and y values of p1 and p2 are the same p1 = Point3D(1, 2, 3) p2 = Point3D(1, 2, 4) # False, because we see p1 and p2 as Point3D objects and thus dispatch the Eq # extension __eq__ method to Point3D which correctly compares x, y and z print(p1 == p2) # True, because comparator takes (Point, Point) and thus we see p1 and p2 # as Point objects and thus dispatch the Eq extension __eq__ method to Point # which only compares x and y and thus returns True despite the z difference print(comparator(p1, p2)) env.exit(0) The comparator function takes arguments of the base class Point type, which means that when dispatching, they will use the Eq protocol of Point rather than that of Point3D. Naive use typically dispatches to the protocol implementation of the derived class, which is what we intuitively want. It's only when we have forced the type to be observed, as here, that we end up with the \"wrong\" protocol implementation. Note that there are also cases where this is the desired behavior. In this particular example, the natural and better solution is to write the comparator function as requiring the Eq type: def generic_comparator[A(Eq)](a: A, b: A): return a == b Another common scenario is when the type has been forced by storing items in a list or dict, which in turn is typed as storing a base class. actor main(env): ref_point = Point3D(1, 2, 4) p1 = Point3D(1, 2, 3) p2 = Point3D(1, 2, 4) my_points: list[Point] = [p1, p2] for point in my_points: if point == ref_point: print(\"Found the reference (compared as Point)\", point) if isinstance(point, Point3D) and point == ref_point: print(\"Found the reference (compared to Point3D)\", point) As shown in the above example, we can force the comparison to use the Eq protocol implemention of Point3D by using isinstance to check and thus coerce the observed type of point to be Point3D.","breadcrumbs":"Language » Protocols » Method Dispatch » Protocol Method Dispatch and Method Resolution Order","id":"27","title":"Protocol Method Dispatch and Method Resolution Order"},"28":{"body":"Actors is a key concept in Acton. Each actor is a small sequential process with its own private state. Actors communicate with each other through messages, in practice by calling methods on other actors or reading their attributes. Source: # An actor definition\nactor Act(name): # Top level code in an actor runs when initializing an actor instance, like # __init__() in Python. print(\"Starting up actor \" + name) def hello(): # We can directly access actor arguments, like `name` print(\"Hello world from \" + name) actor main(env): # Create an actor instance a of Act a = Act(\"FOO\") # Call the actor method hello await async a.hello() env.exit(0) Compile and run: actonc actors.act\n./actors Output: No dependencies found, building project\nBuilding project in /tmp/tmp_nwgl0ik/example Compiling example.act for release Finished compilation in 0.015 s Final compilation step Finished final compilation step in 0.437 s\nStarting up actor FOO\nHello world from FOO","breadcrumbs":"Language » Actors » Actors","id":"28","title":"Actors"},"29":{"body":"Like C has a main() function, Acton has a root actor. To compile a binary executable, there must be a root actor. Per default, if a source (.act) file contains an actor named main, it will be used as the root actor but it can also be specified using the --root argument. While the convention is to call the root actor main, you are free to name it anything. Given this Acton program: actor main(env): print(\"Hello World!\") env.exit(0) The following actonc commands will all produce the same output. actonc hello.act\nactonc hello.act --root main\nactonc hello.act --root hello.main The first invocation relies on the default rule of using an actor called main. The second invocation explicitly specifies that we want to use main as the root actor while the third uses a qualified name which includes both the actor name (main) as well as the module name (hello). Using qualified names can be particularly useful when building executable binaries in projects. A normal Acton program consists of many actors that are structured in a hierarchical tree. The root actor is at the root of the tree and is responsible for starting all other actors directly or indirectly. The Acton Run Time System (RTS) will bootstrap the root actor. rootAB12345 Any executable Acton program must have a root actor defined. Acton libraries (that are included in an another Acton program), do not need a root actor.","breadcrumbs":"Language » Actors » Root Actor » Root Actor","id":"29","title":"Root Actor"},"3":{"body":"Debian / Ubuntu\nMacOS For Debian derivative distributions that use .dpkg and the APT ecosystem. Add the Acton APT repo and install from there: wget -q -O - https://apt.acton-lang.io/acton.gpg | sudo apt-key add -\necho \"deb [arch=amd64] http://apt.acton-lang.io/ stable main\" | sudo tee /etc/apt/sources.list.d/acton.list\nsudo apt-get update\nsudo apt-get install -qy acton brew install actonlang/acton/acton","breadcrumbs":"Getting started » Installation » Installation","id":"3","title":"Installation"},"30":{"body":"The main function in most imperative and functional programming languages start at the top and when they reach the end of the function, the whole program exits. Actors exist as long as another actor has a reference to it and will idle, passively waiting for the next method call. Actors without references will be garbage collected. The root actor of a program will always exist even without other references. This means that a simple program like this modified helloworld (the env.exit() call has been removed) will run indefinitely. You need to deliberately tell the run time system to stop the actor world and exit, via env.exit(), in order to exit the program. Source: actor main(env): print(\"Hello world!\") Compile and run: actonc noexit.act Output: $ ./noexit\n","breadcrumbs":"Language » Actors » Lifetime » Lifetime","id":"30","title":"Lifetime"},"31":{"body":"Actors typically contain some private state. We define variable attributes at the top level in the actor using the var keyword and can then access them from any method within the local actor. Note how self. is not needed. Private variables are not visible from other actors. Source: actor Act(): var something = 40 # private actor variable attribute fixed = 1234 # public constant def hello(): # We can access local actor variable attributes directly, no need for # self.something or similar something += 2 print(\"Hello, I'm Act & value of 'something' is: \" + str(something)) actor main(env): actor1 = Act() await async actor1.hello() print(\"Externally visible constant: \", actor1.fixed) # This would give an error, try uncommenting it # print(actor1.something) env.exit(0) Compile and run: actonc attrs.act Output: Hello, I'm Act & value of 'something' is: 42\nExternally visible constant: 1234 Without the var keyword, an actor attribute is a constant. As constants are not mutable, it is safe to make it visible to other actors and it can be accessed like an attribute on an object.","breadcrumbs":"Language » Actors » Attributes » Actor Attributes & Constants","id":"31","title":"Actor Attributes & Constants"},"32":{"body":"Multiple actors run concurrently. In this example we can see how the two actors Foo and Bar run concurrently. The main actor is also running concurrently, although it doesn't do anything beyond creating the Foo and Bar actors and exiting after some time. Source: actor Counter(name): var counter = 0 def periodic(): print(\"I am \" + name + \" and I have counted to \" + str(counter)) counter += 1 # 'after 1' tells the run time system to schedule the specified # function, in this case periodic(), i.e. ourselves, after 1 second after 1: periodic() # First invocation of periodic() periodic() actor main(env): # Create two instances of the Counter actor, each with a unique name foo = Counter(\"Foo\") bar = Counter(\"Bar\") def exit(): env.exit(0) # exit the whole program after 10 seconds after 10: exit() Compile and run: actonc concurrency.act\n./concurrency Output: I am Foo and I have counted to 0\nI am Bar and I have counted to 0\nI am Foo and I have counted to 1\nI am Bar and I have counted to 1\nI am Foo and I have counted to 2\nI am Bar and I have counted to 2\nI am Foo and I have counted to 3\nI am Bar and I have counted to 3\nI am Foo and I have counted to 4\nI am Bar and I have counted to 4\nI am Bar and I have counted to 5\nI am Foo and I have counted to 5\nI am Bar and I have counted to 6\nI am Foo and I have counted to 6\nI am Bar and I have counted to 7\nI am Foo and I have counted to 7\nI am Foo and I have counted to 8\nI am Bar and I have counted to 8\nI am Foo and I have counted to 9\nI am Bar and I have counted to 9","breadcrumbs":"Language » Actors » Concurrency » Actor concurrency","id":"32","title":"Actor concurrency"},"33":{"body":"While async is good for performance it makes it somewhat convoluted, forcing use of callbacks, to just return a value. Acton makes it possible to call other actors in a synchronous fashion for ease of use. A method is called synchronously when the return value is used. Source: import acton.rts actor DeepT(): def compute(): # some heavy computation going on acton.rts.sleep(1) return 42 actor main(env): d1 = DeepT() answer = d1.compute() print(\"The answer is\", answer) env.exit(0) Compile and run: actonc sync.act Output: The answer is 42 The call flow can be illustrated like this. We can see how the execution of main is suspended while it is waiting for the return value from actor d1. maind1 While synchronous is bad because we block waiting for someone else, we are only ever going to wait for another actor to run its method. There is never any wait for I/O or other indefinite waiting, only blocking wait for computation within the Acton system. This is achieved by the lack of blocking calls for I/O, thus even if there is a chain of actors waiting for each other","breadcrumbs":"Language » Actors » Sync Method calls » Sync Method calls","id":"33","title":"Sync Method calls"},"34":{"body":"As actors are sequential programs and can only do one thing at a time, it is important not to spend time waiting in a blocking fashion. Acton leverages asynchronous style programming to allow actors to react and run only when necessary. Async is at the core of Acton! A method is called asynchronously when the return value is not used. Source: def nsieve(n: int): \"\"\"Sieve of Erathostenes to find primes up to n \"\"\" count = 0 flags = [True] * n for i in range(2, n, 1): if flags[i]: count += 1 for j in range(i, n, i): flags[j] = False return count actor Simon(idx): def say(msg, n): # Simon likes to compute primes and will tell you how many there are under a given number count = nsieve(n) print(\"Simon%d says: %s.... oh and there are %d primes under %d\" % (idx, msg, count, n)) actor main(env): s1 = Simon(1) s2 = Simon(2) s1.say(\"foo\", 1000000) s2.say(\"bar\", 5) def exit(): env.exit(0) after 0.2: exit() Compile and run: actonc async.act Output: Simon2 says: bar.... oh and there are 2 primes under 5\nSimon1 says: foo.... oh and there are 78498 primes under 1000000 A method call like s1.say(\"foo\", 100000) does not use the return value of and is thus called asynchronously. We ask s1 to compute primes under 1000000 while s2 only gets to compute primes up to 5 which will invariably run faster. Thus, s2 despite being called after s1, will print out its result before s1. The s1 and s2 actors are called asynchronously and are executed concurrently and in parallel. The call flow can be illustrated like this. We can see how main asynchronously calls s1 and s2 that will be scheduled to run concurrently. The run time system (RTS) will run s1.say() and s2.say() in parallel if there are 2 worker threads available. Per default, there are as many worker threads as available CPU threads. mains2s1after2 In addition we see how the call to after 2 schedules the main actor to run again after 2 seconds, specifically it will run the main.exit() method, which in turn exists the whole program.","breadcrumbs":"Language » Actors » Async Method calls » Async Method calls","id":"34","title":"Async Method calls"},"35":{"body":"It is possible to run special code when an actor is about to be garbage collected. This should not be performed by normal actors, this is really only for I/O actors that interact with the environment and might need to also clean up in the environment when the actor is being garbage collected. Define an actor action called __cleanup__ and the run time system will automatically install it to be run at garbage collection time. There is no hard guarantee when the __cleanup__ function will be called and it typically takes a couple of collection rounds to run all finalizers. Source: actor Foo(): action def __cleanup__(): print(\"Cleaning up after myself...\") actor main(env): # create a bunch of actors and do not assign reference, so they should be collected for i in range(20): Foo() # perform some busy work to eventually trigger the GC and thus finalization # & schedule __cleanup__ a = 1 for i in range(99999): a += i # Delay exit a little bit to let RTS workers pick up the asynchronously # scheduled __cleanup__ actions to run for the unreachable instances of the # Foo actor def _stop(): env.exit(0) after 0.1: _stop() Output: Cleaning up after myself...\nCleaning up after myself...\nCleaning up after myself...\nCleaning up after myself...\nCleaning up after myself...\nCleaning up after myself...\nCleaning up after myself...\nCleaning up after myself...\nCleaning up after myself...\nCleaning up after myself...\nCleaning up after myself...\nCleaning up after myself...\nCleaning up after myself...\nCleaning up after myself...\nCleaning up after myself...\nCleaning up after myself...\nCleaning up after myself...\nCleaning up after myself...\nCleaning up after myself...\nCleaning up after myself...","breadcrumbs":"Language » Actors » Cleanup » Cleanup / Finalization","id":"35","title":"Cleanup / Finalization"},"36":{"body":"A crucial part in any imperative program is to control the flow of execution. Acton supports a number of different constructs for this: actors if / else for while after / sleep","breadcrumbs":"Language » Control flow » Control flow","id":"36","title":"Control flow"},"37":{"body":"The basic control flow of most programming languages involve a starting point, like a main function, which is run from top to bottom, after which the program implicitly terminates. The basic objective is to feed instructions to the CPU and this goal remains through increasing levels of abstractions. Acton is different. Once created, an actor will simply remain indefinitely, waiting for incoming messages in the form of actor method calls. See Actor Lifetime .","breadcrumbs":"Language » Control flow » actors » Control flow in an async actor world","id":"37","title":"Control flow in an async actor world"},"38":{"body":"Actors in an Acton program form a vast web of interconnected actors. Some actors are on the edge of the Acton realm, bordering to the external world where they may be doing I/O with external entities, through files, sockets or other means. All I/O is callback based and thus event driven and reactive. When there is an event, an actors reacts, perhaps initiating calls to other actors. A ripple runs across the web of actors, each reacting to incoming messages and acting accordingly.","breadcrumbs":"Language » Control flow » actors » A mental model of actors","id":"38","title":"A mental model of actors"},"39":{"body":"Acton supports the if / elif / else construct - the corner stone of programming control flow. The conditionals evaluated by if / elif / else are expressions. Source: def whatnum(n): if n < 0: print(n, \"is negative\") elif n > 0: print(n, \"is positive\") else: print(n, \"is zero\") def inrange(n): if n < 10 and n > 5: print(n, \"is between 5 and 10\") else: print(n, \"is outside of the range 5-10\") actor main(env): whatnum(5) whatnum(1337) whatnum(-7) whatnum(0) inrange(3) inrange(-7) inrange(7) env.exit(0) Compile and run: actonc if_else.act Note that the output is random and you could get a different result. Output: 5 is positive\n1337 is positive\n-7 is negative\n0 is zero\n3 is outside of the range 5-10\n-7 is outside of the range 5-10\n7 is between 5 and 10","breadcrumbs":"Language » Control flow » if / elif / else » if / elif / else","id":"39","title":"if / elif / else"},"4":{"body":"Tip releases are built from the latest commit on the acton git repo main branch. They are built at least once a night, so can be thought of as nightlies but more up to date. Debian / Ubuntu x86_64\nLinux x86_64\nMacOS x86_64 For Debian derivative distributions that use .dpkg and the APT ecosystem. Add the Acton APT tip repo and install from there: wget -q -O - https://apt.acton-lang.io/acton.gpg | sudo apt-key add -\necho \"deb [arch=amd64] http://aptip.acton-lang.io/ tip main\" | sudo tee /etc/apt/sources.list.d/acton.list\nsudo apt-get update\nsudo apt-get install -qy acton Copy and extract the dist tar ball. Download from https://github.com/actonlang/acton/releases/download/tip/acton-linux-x86_64-tip.tar.xz tar Jxf acton-linux-x86_64-tip.tar.xz Copy and extract the dist tar ball. Download from https://github.com/actonlang/acton/releases/download/tip/acton-macos-x86_64-tip.tar.xz tar Jxf acton-macos-x86_64-tip.tar.xz","breadcrumbs":"Getting started » Installation » Tip / Nightly » Installation","id":"4","title":"Installation"},"40":{"body":"Iteration is a core concept in programming and for loops are perhaps the most well known. Acton supports the for in construct to iterate through an Iterator. Source: actor main(env): for n in range(1, 100, 1): if n % 15 == 0: print(\"fizzbuzz\") elif n % 3 == 0: print(\"fizz\") elif n % 5 == 0: print(\"buzz\") else: print(n) env.exit(0) Compile and run: actonc while.act Note that the output is random and you could get a different result. Output: 1\n2\nfizz\n4\nbuzz\nfizz\n7\n8\nfizz\nbuzz\n11\nfizz\n13\n14\nfizzbuzz\n16\n17\nfizz\n19\nbuzz\nfizz\n22\n23\nfizz\nbuzz\n26\nfizz\n28\n29\nfizzbuzz\n31\n32\nfizz\n34\nbuzz\nfizz\n37\n38\nfizz\nbuzz\n41\nfizz\n43\n44\nfizzbuzz\n46\n47\nfizz\n49\nbuzz\nfizz\n52\n53\nfizz\nbuzz\n56\nfizz\n58\n59\nfizzbuzz\n61\n62\nfizz\n64\nbuzz\nfizz\n67\n68\nfizz\nbuzz\n71\nfizz\n73\n74\nfizzbuzz\n76\n77\nfizz\n79\nbuzz\nfizz\n82\n83\nfizz\nbuzz\n86\nfizz\n88\n89\nfizzbuzz\n91\n92\nfizz\n94\nbuzz\nfizz\n97\n98\nfizz","breadcrumbs":"Language » Control flow » for » for","id":"40","title":"for"},"41":{"body":"The while construct can be used to run a loop while a condition is true. Source: import random def throw_dice(): number = random.randint(1,6) print(\"Dice:\", number) return number actor main(env): var luck = True while luck: if throw_dice() == 4: # ran out of luck, nobody likes a 4 luck = False env.exit(0) Compile and run: actonc while.act Note that the output is random and you could get a different result. Output: Dice: 3\nDice: 1\nDice: 5\nDice: 2\nDice: 4","breadcrumbs":"Language » Control flow » while » while","id":"41","title":"while"},"42":{"body":"In many languages, it is fairly common to use sleep() for things like timeouts, pacing and similar. In Acton, and more generally in async actor based languages, sleeping is frowned upon and often not even available. The idiomatic control pattern in Acton is using after, like after 42.1337: foo(). This tells the run time system (RTS) to schedule the execution of the foo() function after 42.1337 seconds. Meanwhile, other methods on the actor can be invoked. Source: import time \"\"\"Pace the sending of messages to once a second\n\"\"\" actor Receiver(): def recv(msg): print(\"At \" + str(time.now()) + \", I received a message:\", msg) actor main(env): var i = 0 r = Receiver() def send_msg(): # Send a message, increment i r.recv(\"Hello \" + str(i)) i += 1 # ... and reschedule execution of ourselves in 1 second after 1: send_msg() # Exit after awhile if i > 4: env.exit(0) # Kick off the whole thing send_msg() Compile and run: actonc after_pace.md Since the output includes time, you will naturally get a slightly different result if you run this. Output: At 2023-05-16T10:08:59.135806428+02, I received a message: Hello 0\nAt 2023-05-16T10:09:00.136484032+02, I received a message: Hello 1\nAt 2023-05-16T10:09:01.135585727+02, I received a message: Hello 2\nAt 2023-05-16T10:09:02.135695030+02, I received a message: Hello 3\nAt 2023-05-16T10:09:03.135811176+02, I received a message: Hello 4 There is in fact a sleep function in Acton, hidden away in the acton.rts module. Do NOT use it! It is intended only for debugging of the RTS itself and will probably disappear from the standard library before 1.0. Despite it, we consider the language to not have a sleep. Actors should either be actively processing or at rest. Conceptually, a sleep is an active wait, in the sense that the RTS will just sit there waiting for the sleep to finish, it is blocked , while it really could process something else in between, like run a different actor method continuation. Similarly, the actor itself could have had other methods on it invoked instead of being actively blocked on a sleep. Being blocked is very bad, which is why all I/O is asynchronous in Acton and why there is no sleep. sleep is evil, use after!","breadcrumbs":"Language » Control flow » after / sleep » after and sleep","id":"42","title":"after and sleep"},"43":{"body":"Security is an important part of application development and is best considered throughout the entire design and development time of an application rather than as an bolted-on after-thought. In Acton, the separation of actors offers the primary means of security. Access to actors (like being able to call their methods) requires a reference to the relevant actor. Anyone with a reference can access the actor in question. It is not possible to forge a reference. This is similar to the object capability (OCAP) model . Since there are no global variables, the only reachable state is local to an actor or reachable via a reference to another actor. This means you cannot reach something out of thin air. You have to be explicitly passed a reference to anything you need to access. The security model based on capability references extends for accessing the world outside of the Acton system. actor Foo(): def foo(): print(\"foofoo\") actor Bar(): # Without a reference to f we cannot call its foo() function actor main(env): f = Foo() f.foo() b = Bar()","breadcrumbs":"Language » Security » Security","id":"43","title":"Security"},"44":{"body":"Any interesting program will need to interact with the outside world, like accessing the network or reading files. In C and many other languages, it is possible for any function at any time to simply make calls and access the external world, like read a file (maybe your private SSH key and send it over the network). Acton makes all such access to the outside world explicit through capability references . In an Acton program, having a reference to an actor gives you the ability to do something with that actor. Without a reference, it is impossible to access an actor and it is not possible to forge a reference. This provides a simple and effective security model that also extends to accessing things outside of the Acton system, like files or remote hosts over the network. Things outside of the actor world are represented by actors and to access such actors, a capability reference is required. For example, we can use TCPConnection to connect to a remote host over the network using TCP. The first argument is of the type TCPConnectCap, which is the capability of using a TCP socket to connect to a remote host. This is enforced by the Acton type system. Not having the correct capability reference will lead to a compilation error. TCPConnectCap is part of a capability hierarchy, starting with the generic WorldCap and becoming further and further restricted: WorldCap >> NetCap >> TCPCap >> TCPConnectCap The root actor (typically main()) takes as its first argument a reference to Env, the environment actor. env.cap is WorldCap, the root capability for accessing the outside world. import net actor main(env): def on_connect(c): c.close() def on_receive(c, data): pass def on_error(c, msg): print(\"Client ERR\", msg) connect_cap = net.TCPConnectCap(net.TCPCap(net.NetCap(env.cap))) client = net.TCPConnection(connect_cap, env.argv[1], int(env.argv[2]), on_connect, on_receive, on_error) Capability based privilege restriction prevent some deeply nested part of a program, perhaps in a dependency to a dependency, to perform operations unknown to the application author. Access to capabilities must be explicitly handed out and a program can only perform operations based on the capabilities it has access to.","breadcrumbs":"Language » Security » Capabilities » Capabilities to access outside world","id":"44","title":"Capabilities to access outside world"},"45":{"body":"Functions and methods taking a Cap argument normally takes the most restricted or refined capability. In the example with setting up a TCP connection, it is the TCPConnectCap capability we need, which is the most restricted. Rather than handing over WorldCap to a function, consider what capabilities that function actually needs and only provide those. If a library asks for wider capabilities than it needs, do not use it.","breadcrumbs":"Language » Security » Capabilities » Restrict and delegate","id":"45","title":"Restrict and delegate"},"46":{"body":"As a library author, you should only require precisely the capabilities that the library requires. Do not be lazy and require WorldCap. If the library offers multiple functionalities, for example logging to files or to a remote host, strive to make parts optional such that it the application developer and choose to only use a subset and only provide the capability required for that subset.","breadcrumbs":"Language » Security » Capabilities » Capability friendly interfaces","id":"46","title":"Capability friendly interfaces"},"47":{"body":"The environment of an Acton application is the outside world. Any useful application typically needs to interact with the environment in some way, like reading arguments or taking input from stdin and printing output.","breadcrumbs":"Language » Environment » Environment","id":"47","title":"Environment"},"48":{"body":"It is possible to read, set and unset environment variables. The standard functions env.getenv, env.setenv and env.unsetenv all assume str input and output, which is a convenience based on the assumption that all data is encoded using UTF-8. POSIX systems really use binary encoding for both environment names and variables. To access the environment as bytes and handle decoding explicitly, use env.getenvb, env.setenvb and env.unsetenvb. Source: actor main(env): env_user = env.getenv(\"USER\") if env_user is not None: print(\"User:\", env_user) env.setenv(\"FOO\", \"bar\") env.unsetenv(\"LANG\") foo_env = env.getenv(\"FOO\") if foo_env is not None: print(\"FOO:\", foo_env) env.exit(0) Output: User: myuser\nFOO: bar","breadcrumbs":"Language » Environment » Environment variables » Environment variables","id":"48","title":"Environment variables"},"49":{"body":"Read input from stdin by installing a handler for stdin data. The returned data is str actor main(env): def interact(input): print(\"Got some input:\", input) env.stdin_install(interact) It is possible to specify the encoding and an on_error() callback which is invoked if there are problem with decoding the data. When encoding is not specified (default None), an attempt is made to discover the encoding by reading the LANG environment variable. If no encoding is discovered, the default is to use utf-8. actor main(env): def interact(input): print(\"Got some input:\", input) def on_stdin_error(err, data): print(\"Some error with decoding the input data:\", err) print(\"Raw bytes data:\", data) env.stdin_install(on_stdin=interact, encoding=\"utf-8\", on_error=on_stdin_error) You can read the raw data in bytes form by installing a bytes handler instead: actor main(env): def interact(bytes_input): # Note how the input might contain parts (some bytes) of a multi-byte # Unicode character in which case decoding will fail print(\"Got some input:\", bytes_input.decode()) env.stdin_install(on_stdin_bytes=interact) This allows reading binary data and more explicit control over how to decode the data.","breadcrumbs":"Language » Environment » Reading stdin input » Reading stdin input","id":"49","title":"Reading stdin input"},"5":{"body":"While Acton is a compiled language and the acton compiler produces an executable binary, script style execution is also possible through the use of a shebang line. Source: #!/usr/bin/env runacton actor main(env): print(\"Hello World!\") env.exit(0) Ensure the executable bit is set and run your .act file directly: chmod a+x hello.act\n./hello.act Output: Hello World!","breadcrumbs":"Getting started » Acton scripts » Shebang","id":"5","title":"Shebang"},"50":{"body":"For interactive programs, like a text editor, input is not fed into the program line by line, rather the program can react on individual key strokes. The default stdin mode is the canonical mode, which implies line buffering and that there are typically line editing capabilities offered that are implemented external to the Acton program. By setting stdin in non-canonical mode we can instead get the raw key strokes directly fed to us. actor main(env): def interact(input): print(\"Got some input:\", input) # Set non-canonical mode, so we get each key stroke directly env.set_stdin(canonical=False) # Turn off terminal echo env.set_stdin(echo=False) env.stdin_install(interact) We can also disable the echo mode with the echo option. The Acton run time system will copy the stdin terminal settings on startup and restore them on exit, so you do not need to manually restore terminal echo for example.","breadcrumbs":"Language » Environment » Interactive stdin input » Interactive stdin","id":"50","title":"Interactive stdin"},"51":{"body":"Acton modules can be used to hierarchically structure programs by splitting code into smaller logical units (modules). Import modules by using the import keyword. The module will be available with its fully qualified name. Use from .. import to import a single function from a module. Functions and modules can be aliased using the as keyword. import time\nimport time as timmy\nfrom time import now\nfrom time import now as rightnow actor main(env): time.now() # using the fully qualified name timmy.now() # using aliased module name now() # using the directly imported function rightnow() # using function alias env.exit(0) Remember, all state in an Acton program must be held by actors. There can be no mutable variables in an Acton module, only constants! Similarly, there can be no global instantiation code in a module.","breadcrumbs":"Language » Modules » Modules","id":"51","title":"Modules"},"52":{"body":"","breadcrumbs":"Standard library » Standard library","id":"52","title":"Standard library"},"53":{"body":"Source: import re actor main(env): m = re.match(r\"(foo[a-z]+)\", \"bla bla foobar abc123\") if m is not None: print(\"Got a match:\", m.group[1]) env.exit(0) Output: Got a match: foobar","breadcrumbs":"Standard library » Regular Expression » Regular expressions","id":"53","title":"Regular expressions"},"54":{"body":"Testing your code is a really good idea! While Acton's type system allows interfaces to be precisely defined, it is imperative that the behavior of a function or actor is tested! Test functions are automatically discovered by the compiler. Run tests with acton test. Import the testing module and name your test functions starting with _test. The type signature should match the test intended test category. Use the assertion functions available in the testing module. Here is a simple unit test: Source: import testing def _test_simple(): testing.assertEqual(1, 1) Run: acton test Output: Building project in /home/user/foo Compiling example.act for release Finished compilation in 0.016 s Final compilation step Finished final compilation step in 0.437 s Tests - module example: simple: OK: 1523 runs in 50.001ms All 1 tests passed (0.604s) There are 4 kinds of tests unit tests small simple tests of pure functions synchronous actor tests involving one or more actors, returning results synchronously asynchronous actor tests involving actors but use asynchronous callbacks for return values environment tests similar to async actor test in that a callback is used for the return value these tests have access to the full environment via the env argument and can thus communicate with the outside world this is a source of non-determinism so be mindful of this and try to avoid non-deterministic functions to the largest degree possible When possible, strive to use unit tests rather than actor based tests and strive to avoid env tests.","breadcrumbs":"Testing » Testing","id":"54","title":"Testing"},"55":{"body":"Source: import testing def _test_simple(): foo = 3+4 testing.assertEqual(7, foo) Run: acton test Output: Building project in /home/user/foo Compiling example.act for release Finished compilation in 0.016 s Final compilation step Finished final compilation step in 0.442 s Tests - module example: simple: OK: 1565 runs in 50.079ms All 1 tests passed (0.600s) Unit tests are a good starting point for testing small units of your program. Pure functions are deterministic and are thus preferable for tests over non-deterministic tests using actors. You are limited in what you can do though, since all called functions must be pure. The test discovery finds unit tests based on the name starting with _test_ and has a function signature of mut() -> None or pure() -> None. Note Once effect analysis has been improved in the compiler to contain scope local effects, the test discovery will only consider pure functions to be unit tests. See https://github.com/actonlang/acton/issues/1632","breadcrumbs":"Testing » Unit tests » Unit tests","id":"55","title":"Unit tests"},"56":{"body":"Source: import logging\nimport testing actor MathTester(): def add(a, b): return a + b actor SyncTester(log_handler): def test(): m = MathTester() testing.assertEqual(m.add(1, 2), 3, \"1 + 2 = 3\") def _test_syncact(log_handler: logging.Handler) -> None: \"\"\"A test using actors and synchronous control flow\"\"\" # We make use of an actor as the central point for running our test logic. # This _test_syncact function is just a wrapper picked up by the acton # test framework runner s = SyncTester(log_handler) return s.test() Run: acton test Output: Building project in /home/user/foo Compiling example.act for release Finished compilation in 0.027 s Final compilation step Finished final compilation step in 0.526 s Tests - module example: syncact: OK: 1175 runs in 50.005ms All 1 tests passed (0.655s) Since the Acton RTS is multi-threaded and actors are scheduled concurrently on worker threads, using actors imply a degree of non-determinism and so unlike unit tests, which are completely deterministic, actors tests are fundamentally non-deterministic. You can still write deterministic tests as long as you pay attention to how you construct your test results. For example, actor A might be scheduled before or after actor B so if the test relies on ordering of the output, it could fail or succeed intermittently. Interacting with the surrounding environment by reading files or communicating over the network introduces even more sources of non-determinism. Avoid it if you can. The test discovery finds synchronous actor tests based on the name starting with _test_ and has a function signature of mut(logging.Handler) -> None or pure(logging.Handler) -> None.","breadcrumbs":"Testing » Sync actor tests » Sync actor tests","id":"56","title":"Sync actor tests"},"57":{"body":"Source: import logging\nimport testing actor MathTester(): def add(a, b): return a + b actor AsyncTester(report_result, log_handler): log = logging.Logger(log_handler) def test(): log.info(\"AsyncTester.test()\", None) report_result(True, None) def _test_asyncact1(report_result: action(?bool, ?Exception) -> None, log_handler: logging.Handler) -> None: \"\"\"A test using actors and asynchronous control flow\"\"\" # We make use of an actor as the central point for running our test logic. # This _test_asyncact function is just a wrapper picked up by the acton # test framework runner s = AsyncTester(report_result, log_handler) s.test() Run: acton test Output: Building project in /home/user/foo Compiling example.act for release Finished compilation in 0.028 s Final compilation step Finished final compilation step in 0.516 s Tests - module example: asyncact1: OK: 1171 runs in 56.181ms All 1 tests passed (0.695s) If a particular module is written to be called asynchronously, you will need to use asynchronous tests to test it. The test discovery finds asynchronous actor tests based on the name starting with _test_ and has a function signature of proc(action(?bool, ?Exception) -> None, logging.Handler) -> None.","breadcrumbs":"Testing » Async actor tests » Async actor tests","id":"57","title":"Async actor tests"},"58":{"body":"When you need to test functionality that accesses the environment, you need an env test. Do beware of errors related to test setup though, since you now depend on the external environment. TCP ports that you try to listen to might be already taken. Files that you assume exist might not be there. Source: import logging\nimport testing actor EnvTester(report_result, env, log_handler): log = logging.Logger(log_handler) def test(): log.info(\"EnvTester.test()\", None) report_result(True, None) def _test_envtest1(report_result: action(?bool, ?Exception) -> None, env: Env, log_handler: logging.Handler) -> None: \"\"\"A test interacting with the environment\"\"\" # We make use of an actor as the central point for running our test logic. # This _test_envtest1 function is just a wrapper picked up by the acton # test framework runner s = EnvTester(report_result, env, log_handler) s.test() Run: acton test Output: Building project in /home/user/foo Compiling example.act for release Finished compilation in 0.023 s Final compilation step Finished final compilation step in 0.484 s Tests - module example: envtest1: OK: 1213 runs in 50.135ms All 1 tests passed (0.689s) The test discovery finds env actor tests based on the name starting with _test_ and has a function signature of proc(action(?bool, ?Exception) -> None, Env, logging.Handler) -> None.","breadcrumbs":"Testing » Env tests » Env tests","id":"58","title":"Env tests"},"59":{"body":"Tests can have tree different outcomes; success, failure and error. Success and failure are the two common cases where success is when the test meets the expected assertions and a failure is when it fails to meet a test assertion like testing.assertEqual(1, 2). We also distinguish a third case for test errors which is when a test does not run as expected, hitting an unexpected exception. This could indicate a design issue or that the test environment is not as expected. All test assertions raise exceptions inheriting from AssertionError which are considered test failures . Any other exception will be considered a test error . For example, if a test attempts to retrieve https://dummyjson.com/products/1 and check that the returned JSON looks a certain way, it would be a test failure if the returned JSON does not match the expected value. If we try to connect with an invalid URL, like htp:// we would get a different exception and that would be considered a test error . It's probably a bad idea to try to connect to something on the Internet in a test, so avoid that and other sources of non-determinism when possible.","breadcrumbs":"Testing » Failures vs errors » Failures vs errors","id":"59","title":"Failures vs errors"},"6":{"body":"Besides compiling individual .act files, it is possible to organize Acton code into an Acton Project , which is suitable once you have more than one .act source code file. Use acton to create a new project called foo: acton new foo Output: Created project foo\nEnter your new project directory with: cd foo\nCompile: acton build\nRun: ./out/bin/foo","breadcrumbs":"Getting started » Acton Projects » Acton Projects","id":"6","title":"Acton Projects"},"60":{"body":"Source: import random\nimport testing def _test_failure(): testing.assertEqual(1, 2) def _test_flaky(): i = random.randint(0, 2) if i == 0: return elif i == 1: testing.assertEqual(1, 2) else: raise ValueError(\"Random failure\") def _test_error() -> None: # Now we could never use a unit test to fetch things from the Internet # anyway, but it's just to show what the results look like raise ValueError() Run: acton test Output: Building project in /home/user/foo Compiling example.act for release Finished compilation in 0.020 s Final compilation step Finished final compilation step in 0.482 s Tests - module example: error: ERR: 454 errors out of 454 runs in 52.733ms ValueError: flaky: FLAKY FAIL: 231 failures out of 471 runs in 52.819ms testing.NotEqualError: Expected equal values but they are non-equal. A: 1 B: 2 failure: FAIL: 408 failures out of 408 runs in 52.837ms testing.NotEqualError: Expected equal values but they are non-equal. A: 1 B: 2 1 error and 2 failure out of 3 tests (0.691s) Unit tests are a good starting point for testing small units of your program. Pure functions are deterministic and are thus preferable for tests over non-deterministic tests using actors. You are limited in what you can do though, since all called functions must be pure.","breadcrumbs":"Testing » Failures vs errors » Unit tests","id":"60","title":"Unit tests"},"61":{"body":"Flaky tests are those that have different outcomes during different runs, i.e. they are not deterministic. To combat these, acton test will per default attempt to run tests multiple times to ensure that the result is the same. It runs as many test iterations as possible for at least 50ms. If a test is flaky, this will be displayed in the test output. Source: import random\nimport testing def _test_flaky(): i = random.randint(0, 2) if i == 0: return elif i == 1: testing.assertEqual(1, 2) else: raise ValueError(\"Random failure\") Run: acton test Output: Building project in /home/user/foo Compiling example.act for release Finished compilation in 0.017 s Final compilation step Finished final compilation step in 0.453 s Tests - module example: flaky: FLAKY FAIL: 565 failures out of 1140 runs in 50.043ms testing.NotEqualError: Expected equal values but they are non-equal. A: 1 B: 2 1 out of 1 tests failed (0.625s) Note Note how this test case is only made possible because the random module has incorrect effects. The type says it is pure while in reality, it is not. There is an issue to improve this by applying a proper effect to the random module, see https://github.com/actonlang/acton/issues/1729, after which this example needs to be rewritten.","breadcrumbs":"Testing » Flaky tests » Flaky tests","id":"61","title":"Flaky tests"},"62":{"body":"It is also possible to run tests in a performance mode , which uses the same basic test definitions (so you can run your tests both as logic test and for performance purposes) but alters the way in which the tests are run. In performance mode, only a single test will be run at a time unlike the normal mode in which many tests are typically run concurrently. To get good numbers in performance mode, it's good if test functions run for at least a couple of milliseconds. With very short tests, very small differences lead to very large percentage differences. Source: import testing def _test_simple(): a = 0 for i in range(99999): a += i Run: acton test perf Output: Building project in /home/user/foo Compiling example.act for release Finished compilation in 0.016 s Final compilation step Finished final compilation step in 0.451 s Tests - module example: simple: OK: 3.21ms Avg: 4.20ms 5.11ms 106 runs in 1005.261ms All 1 tests passed (1.571s) (note that the output is rather wide, scroll horizontally to see the full output)","breadcrumbs":"Testing » Performance testing » Performance testing","id":"62","title":"Performance testing"},"63":{"body":"When running in performance mode you can record a snapshot of performance using acton test perf --record. A perf_data file is written to disk with the stored performance data. Subsequent test runs will read this file and show a comparison. The difference is displayed as a percentage increase or decrease in time. Source: import testing def _test_simple(): a = 0 for i in range(99999): a += i Run: acton test perf --record\nacton test perf Output: Building project in /home/user/foo Compiling example.act for release Finished compilation in 0.017 s Final compilation step Finished final compilation step in 0.452 s Tests - module example: simple: OK: 3.25ms Avg: 4.16ms 7.38ms 122 runs in 1006.002ms All 1 tests passed (1.565s) Building project in /home/user/foo Compiling example.act for release Already up to date, in 0.000 s Final compilation step Finished final compilation step in 0.116 s Tests - module example: simple: OK: 3.23ms -0.50% Avg: 4.17ms +0.19% 6.35ms -13.91% 119 runs in 1001.375ms All 1 tests passed (1.215s) (note that the output is rather wide, scroll horizontally to see the full output)","breadcrumbs":"Testing » Perf comparison » Performance comparisons","id":"63","title":"Performance comparisons"},"64":{"body":"Acton is a compiled language and as such, outputs binary executables. It is possible to influence the compilation process in various ways.","breadcrumbs":"Build System » Compilation","id":"64","title":"Compilation"},"65":{"body":"The default target is somewhat conservative to ensure a reasonable amount of compatibility. On Linux, the default target is GNU Libc version 2.27 which makes it possible to run Acton programs on Ubuntu 18.04 and similar old operating systems. Similarly, a generic x86_64 CPU is assumed which means that newer extra CPU instruction sets are not used. To compile an executable optimized for the local computer, use --target native. In many cases it can lead to a significant faster program, often running 30% to 100% faster.","breadcrumbs":"Build System » Optimized for native CPU features","id":"65","title":"Optimized for native CPU features"},"66":{"body":"On Linux, executable programs can be statically linked using the Musl C library, which maximizes portability as there are no runtime dependencies at all. To compile an executable optimized for portability using musl on x86_64, use --target x86_64-linux-musl. A default compiled program is dynamically linked with GNU libc & friends $ actonc helloworld.act\nBuilding file helloworld.act Compiling helloworld.act for release Finished compilation in 0.013 s Final compilation step Finished final compilation step in 0.224 s\n$ ldd helloworld linux-vdso.so.1 (0x00007fff2975b000) libm.so.6 => /lib/x86_64-linux-gnu/libm.so.6 (0x00007f11f472a000) libpthread.so.0 => /lib/x86_64-linux-gnu/libpthread.so.0 (0x00007f11f4725000) libc.so.6 => /lib/x86_64-linux-gnu/libc.so.6 (0x00007f11f4544000) libdl.so.2 => /lib/x86_64-linux-gnu/libdl.so.2 (0x00007f11f453f000) /lib64/ld-linux-x86-64.so.2 (0x00007f11f4827000)\n$ A program linked statically towards Musl has no run time dependencies: $ actonc helloworld.act --target x86_64-linux-musl\nBuilding file helloworld.act Compiling helloworld.act for release Finished compilation in 0.013 s Final compilation step Finished final compilation step in 0.224 s\n$ ldd helloworld not a dynamic executable\n$ Although untested, static linking with musl should work on other CPU architectures. MacOS does not support static compilation.","breadcrumbs":"Build System » Statically linked executables using musl for portability","id":"66","title":"Statically linked executables using musl for portability"},"67":{"body":"Acton supports cross-compilation, which means that it is possible to run develop on one computer, say a Linux computer with an x86-64 CPU but build an executable binary that can run on a MacOS computer. Here's such an example. We can see how per default, the output is an ELF binary for x86-64. By setting the --target argument, actonc will instead produce an executable for a Mac. $ actonc --quiet helloworld.act\n$ file helloworld\nhelloworld: ELF 64-bit LSB executable, x86-64, version 1 (SYSV), dynamically linked, interpreter /lib64/ld-linux-x86-64.so.2, for GNU/Linux 2.0.0, with debug_info, not stripped\n$ actonc --quiet helloworld.act --target x86_64-macos-none\n$ file helloworld\nhelloworld: Mach-O 64-bit x86_64 executable, flags: It is not only possible to compile for other operating systems, but also for other CPU architectures. For example, use --target aarch64-macos-any to produce a binary executable for an Apple M1/M2 CPU.","breadcrumbs":"Build System » Cross-compilation","id":"67","title":"Cross-compilation"},"68":{"body":"Acton ships with prebuilt libraries for the local platforms default target, i.e. if you install Acton on a x86-64 Linux machine, it will have libraries prebuilt for x86_64-linux-gnu.2.27. The default target uses these prebuilt libraries which results in a fast build: $ actonc helloworld.act\nBuilding file helloworld.act Compiling helloworld.act for release Finished compilation in 0.013 s Final compilation step Finished final compilation step in 0.224 s\n$ When targeting something that is not the default target, the entire Acton system, including builtins, the run time system, the standard library and external library dependencies is built from source and can take a significant amount of time. The build process is highly parallelized and cached. For example, on an AMD 5950X with 16 cores / 32 threads, it takes around 7 seconds to do a complete rebuild for a small Acton program as can be seen here: $ actonc helloworld.act --target aarch64-macos-none\nBuilding file helloworld.act Compiling helloworld.act for release Finished compilation in 0.012 s Final compilation step Finished final compilation step in 6.847 s\n$","breadcrumbs":"Build System » Prebuilt libraries","id":"68","title":"Prebuilt libraries"},"69":{"body":"In an Acton project, there is a build cache, is is stored in a directory called build-cache in the project directory. The cache is always used for the project local files. If a non-default --target is being used, the built output of the Acton system is also stored in the cache, which means that it is only the first time around that it is slow. Any subsequent build is going to use the cache and run very fast. Like in this example, where the first invocation takes 6.120 seconds and the second one runs in 0.068 seconds. $ actonc new hello\nCreated project hello\nEnter your new project directory with: cd hello\nCompile: actonc build\nRun: ./out/bin/hello Initialized empty Git repository in /home/kll/hello/.git/\n$ cd hello/\n$ actonc build --target native\nBuilding project in /home/kll/hello Compiling hello.act for release Finished compilation in 0.012 s Final compilation step Finished final compilation step in 6.120 s\n$ actonc build --target native\nBuilding project in /home/kll/hello Compiling hello.act for release Already up to date, in 0.000 s Final compilation step Finished final compilation step in 0.068 s\n$ When compiling standalone .act files, there is no project and thus no persistent cache, so using a custom --target will always incur a penalty.","breadcrumbs":"Build System » Build cache","id":"69","title":"Build cache"},"7":{"body":"Use acton build to build a project. The current working directory must be the project directory or a sub-directory to the project directory. acton will discover all source files and compile them according to dependency order. Add a main actor to any source file directly under src/ to produce an executable binary. For example, if src/hello.act contains a main actor, it will produce out/bin/hello using main as the root actor.","breadcrumbs":"Getting started » Acton Projects » Description","id":"7","title":"Description"},"70":{"body":"acton offers integrated package management to declare dependencies on other Acton packages and automatically download them from their sources on the Internet. The guiding principle behind Actons package management is to strive for determinism, robustness and safety. This is primarily achieved by only resolving dependencies at design time. That is, it is the developer of a particular Acton package that determines its exact dependencies and not whomever might be downloading and building said package. The very identity of a package at a particular point in time, which can be thought of as the version of a package, is the hash of its content. This is the foundation of Actons package management. Each dependency has a hash of its content. A URL is just one place from which this particular version of a package can be downloaded. The hash of packages is determined and recorded at design time. Anyone pulling down and building dependencies will have the hash verified to ensure a deterministic build. There is no central package repository, instead dependencies are defined as URLs from which the dependency package can be downloaded. This is typically a tar.gz file from GitHub, GitLab or similar source hosting site. Again, the very identity of a version of a package is the conten hash. The URL is only from where to get it. Acton is statically compiled, all dependencies are fetched and included at compile time. There are no run time dependencies.","breadcrumbs":"Package Management » Package Management","id":"70","title":"Package Management"},"71":{"body":"Add a dependency to your project by using acton pkg add and providing the URL to the project and a local reference name. In this case we add the example foo package as a dependency. acton pkg add https://github.com/actonlang/foo/archive/refs/heads/main.zip foo This will fetch the dependency and add it to the build.act.json file of your local project, resulting in something like: { \"dependencies\": { \"foo\": { \"url\": \"https://github.com/actonlang/foo/archive/refs/heads/main.zip\", \"hash\": \"1220cd47344f8a1e7fe86741c7b0257a63567b4c17ad583bddf690eedd672032abdd\" } }, \"zig_dependencies\": {}\n} Note It is possible to edit build.act.json by hand, but adding dependencies, which requires filling in the 'hash' field requires computing the hash which is somewhat tricky. The foo package provides a single foo module with a foo function (that appropriately returns foo). We can now access it from our main actor: import foo actor main(env): print(foo.foo()) env.exit(0)","breadcrumbs":"Package Management » Add Dependency » Add Dependency","id":"71","title":"Add Dependency"},"72":{"body":"It is possible to use dependencies available via a local file system path by setting the path attribute. Edit build.act.json and add or modify an existing dependency. Set the path attribute to a relative path on the local file system, e.g.: { \"dependencies\": { \"foo\": { \"url\": \"https://github.com/actonlang/foo/archive/refs/heads/main.zip\", \"hash\": \"1220cd47344f8a1e7fe86741c7b0257a63567b4c17ad583bddf690eedd672032abdd\", \"path\": \"../foo\" }, \"local_lib\": { \"path\": \"deps/local_lib\" } }, \"zig_dependencies\": {}\n} Note Setting a local path will take priority over a remote url. This can be useful to fork a library and make local modifications to it before submitting them back upstream.","breadcrumbs":"Package Management » Local Dependencies » Local Dependencies","id":"72","title":"Local Dependencies"},"73":{"body":"You can remove a dependency from your project with acton pkg remove: acton pkg remove foo","breadcrumbs":"Package Management » Remove Dependency » Remove Dependency","id":"73","title":"Remove Dependency"},"74":{"body":"You can fetch all the dependencies of a project by using acton fetch. It will download the dependencies specified in build.act.json to the cache. acton fetch enables you to work offline (a.k.a airplane mode ).","breadcrumbs":"Package Management » Fetch Deps (Airplane mode) » Fetch Dependencies / Enable Airplane Mode","id":"74","title":"Fetch Dependencies / Enable Airplane Mode"},"75":{"body":"Much like dependencies on other Acton packages, an Acton project can depend on a Zig package which could be a C / C++ or Zig library, as long as it has a build.zig file. acton zig-pkg add URL NAME --artifact X --artifact Y list the libraries you want to link with as artifacts acton zig-pkg remove NAME Example acton zig-pkg add https://github.com/allyourcodebase/zlib/archive/refs/tags/1.3.1.tar.gz zlib --artifacts z { \"dependencies\": {}, \"zig_dependencies\": { \"zlib\": { \"url\": \"https://github.com/allyourcodebase/zlib/archive/refs/tags/1.3.1.tar.gz\", \"hash\": \"122034ab2a12adf8016ffa76e48b4be3245ffd305193edba4d83058adbcfa749c107\", \"artifacts\": [ \"z\" ] } }\n}","breadcrumbs":"Package Management » Zig / C / C++ dependencies » C / C++ / Zig dependencies","id":"75","title":"C / C++ / Zig dependencies"},"76":{"body":"","breadcrumbs":"Security and Trust » Security and Trust (or the lack thereof)","id":"76","title":"Security and Trust (or the lack thereof)"},"77":{"body":"Acton has C ABI compatibility which makes it trivial to call C functions and fairly simply to call Zig and C++ using C wrapping functions. If you want to integrate a library written in one of these languages, this page is for you. Regardless of the foreign language used, we need to consider a few things: memory allocation, it must play well with the Acton GC You can allocate memory via classic malloc or via Acton GC malloc acton_malloc - normal malloc acton_malloc_atomic for allocations that are guaranteed to not contain pointers Better safe than sorry, use the GC-malloc when in doubt Always use Acton GC malloc for actor and class attributes and similar object and actor instances are garbage collected by the GC and there is no destructor function, so if you would have used class malloc there is no good place for the free Within pure functions, you can use class malloc - be sure to free the allocations before return of the function, even for error paths thread safety, the Acton RTS is threaded and actors are concurrently executed by different threads in general, we strive to only keep data per actor and since an actor executes sequentially, we do not need thread safety measures like locks - just make sure you don't try to share data between actors \"under the hood\" libraries must not use global variables though asynchronous I/O, the Acton RTS performs asynchronous I/O and any other library that performs I/O need to conform to this model","breadcrumbs":"Working with Zig / C / C++ » Working with Zig / C / C++","id":"77","title":"Working with Zig / C / C++"},"78":{"body":"This is a guide to integrating C libraries in Acton code. We will use the zlib compression library, written in C, to build an Acton module that supports zlib compression and decompression. We will only focus on the inflate and deflate functions in zlib. They are pure functions (meaning they only take some input and return some output, they do not have any side effects like writing to some shared state), that makes them easier to integrate than anything that does I/O. While zlib does expose functions to interact with files, we don't want to reimplement file related functionality since we already have this supported by the Acton stdlib.","breadcrumbs":"Working with Zig / C / C++ » Integrating a C library (zlib) » Integrating a C library (zlib)","id":"78","title":"Integrating a C library (zlib)"},"79":{"body":"Let's start by making a new Acton project, let's call it acton-zlib. New projects are created with an example \"Hello world\" app. Let's remove it and start from scratch. acton new acton-zlib\ncd acton-zlib\nrm src/*","breadcrumbs":"Working with Zig / C / C++ » Integrating a C library (zlib) » Create new project","id":"79","title":"Create new project"},"8":{"body":"Writing tests is an integral part of writing software. In an Acton project, you can run all the tests by issuing acton test: foo@bar:~hello$ acton test Tests - module hello: foo: OK: 278 runs in 50.238ms All 1 tests passed (23.491s) foo@bar:~hello$ See the Testing section on how to write tests.","breadcrumbs":"Getting started » Running Tests » Running Tests","id":"8","title":"Running Tests"},"80":{"body":"The Acton compiler parses .act source code, runs through all its compilation passes with type checking, CPS conversion, lambda lifting etc and finally produces C code. Internally, Acton then uses the Zig build system to compile the generated C code to libraries and finally binary executables. To add a C library dependency, it first needs to be buildable using the Zig build system, which means that it needs a build.zig file, the config file for the Zig build, somewhat similar to the CMakeLists.txt of CMake. Some projects have already adopted a build.zig in the upstream repo, like PCRE2 and the Boehm-Demers-Weiser GC (both of which are used by Acton). In some cases, there are forks of projects with build.zig added. Otherwise you will need to write one for yourself, which is usually simpler than it might first seem.","breadcrumbs":"Working with Zig / C / C++ » Integrating a C library (zlib) » Acton's low level build system - the Zig build system","id":"80","title":"Acton's low level build system - the Zig build system"},"81":{"body":"In the case of zlib, there is already a repo available with a build.zig for zlib . Navigate to the Tags page, find 1.3.1 and the link to the source files, i.e. https://github.com/allyourcodebase/zlib/archive/refs/tags/1.3.1.tar.gz. Add it to our acton-zlib project: acton zig-pkg add https://github.com/allyourcodebase/zlib/archive/refs/tags/1.3.1.tar.gz zlib --artifact z Note the --artifact z which is provided to instruct which library to link with. Headers from the zlib library, like zlib.h, will now become visible to C files in our project and the z library will be linked in with our executables. The easiest way to discover what the artifacts are called is by inspecting the build.zig file of the package. This particular zlib build.zig starts like this: const std = @import(\"std\"); pub fn build(b: *std.Build) void { const upstream = b.dependency(\"zlib\", .{}); const lib = b.addStaticLibrary(.{ .name = \"z\", .target = b.standardTargetOptions(.{}), .optimize = b.standardOptimizeOption(.{}), }); lib.linkLibC(); lib.addCSourceFiles(.{ .root = upstream.path(\"\"), .files = &.{ \"adler32.c\", \"crc32.c\",\n... It is the .name argument to addStaticLibrary that tells us the name of the artifact. Zig packages might expose multiple such artifacts, as is the case for mbedtls . acton zig-pkg add will fetch the package from the provided URL and save the hash sum to build.act.json, resulting in: { \"dependencies\": {}, \"zig_dependencies\": { \"zlib\": { \"url\": \"https://github.com/allyourcodebase/zlib/archive/refs/tags/1.3.1.tar.gz\", \"hash\": \"122034ab2a12adf8016ffa76e48b4be3245ffd305193edba4d83058adbcfa749c107\", \"artifacts\": [ \"z\" ] } }\n}","breadcrumbs":"Working with Zig / C / C++ » Integrating a C library (zlib) » Add the zlib C library as a Zig dependency","id":"81","title":"Add the zlib C library as a Zig dependency"},"82":{"body":"Next up we need to create the Acton zlib module. Open src/zlib.act and add a compress and decompress function: pure def compress(data: bytes) -> bytes: NotImplemented pure def decompress(data: bytes) -> bytes: NotImplemented The NotImplemented statement tells the compiler that the implementation is not written in Acton but rather external. When there is a .ext.c file, the compiler expects it to contain the implementations for the NotImplemented functions. Also note the explicit types. Normally the Acton compiler can infer types, but since there is no Acton code here, only C code, there is nothing to infer from. Now create src/zlib.ext.c which is where we will do the actual implementation of these functions. We need to add a __ext_init__ function, which runs on module load by the Acton RTS, which must always exist. There is nothing to do in particular for zlib so let's just create an empty function, like so: void zlibQ___ext_init__() {} Next, we need to fill in the C functions that map to the Acton functions compress and decompress. By invoking acton build we can get the compiler to generate a skeleton for these. We will also get a large error message, since there is no actual implementation: user@host$ acton build\n... some large error message Ignore the error and instead check the content of out/types/zlib.c and we will find the C functions we need, commented out: #include \"rts/common.h\"\n#include \"out/types/zlib.h\"\n#include \"src/zlib.ext.c\"\nB_bytes zlibQ_compress (B_bytes data);\n/*\nB_bytes zlibQ_compress (B_bytes data) { // NotImplemented\n}\n*/\nB_bytes zlibQ_decompress (B_bytes data);\n/*\nB_bytes zlibQ_decompress (B_bytes data) { // NotImplemented\n}\n*/\nint zlibQ_done$ = 0;\nvoid zlibQ___init__ () { if (zlibQ_done$) return; zlibQ_done$ = 1; zlibQ___ext_init__ ();\n} Copy the commented-out skeleton into our own src/zlib.ext.c. Just in order to get something that compiles, let's just quickly let the functions return the input data. Since both input and output are bytes, this should now compile (and work at run time). B_bytes zlibQ_compress (B_bytes data) { return data;\n}\nB_bytes zlibQ_decompress (B_bytes data) { return data;\n} user@host:~/acton-zlib$ acton build\nBuilding project in /Users/user/acton-zlib Compiling zlib.act for release Finished compilation in 0.005 s Compiling test_zlib.act for release Finished compilation in 0.019 s Final compilation step\nuser@host:~/acton-zlib$","breadcrumbs":"Working with Zig / C / C++ » Integrating a C library (zlib) » Create zlib.act Acton module","id":"82","title":"Create zlib.act Acton module"},"83":{"body":"Before we implement the body of the compress and decompress functions, we can write a small test module which will tell us when we've succeeded. We use some pre-known test data (which we could get from another language implementation): import testing\nimport zlib def _test_roundtrip(): for x in range(100): i = \"hello\".encode() c = zlib.compress(i) d = zlib.decompress(c) testing.assertEqual(i, d) def _test_compress(): for x in range(100): i = \"hello\".encode() c = zlib.compress(i) testing.assertEqual(c, b'x\\x9c\\xcbH\\xcd\\xc9\\xc9\\x07') def _test_decompress(): for x in range(1000): c = b'x\\x9c\\xcbH\\xcd\\xc9\\xc9\\x07' d = zlib.decompress(c) testing.assertEqual(d, b'hello') Note how we run a few test iterations to get slightly better timing measurements for performance testing. Run the test with acton test: user@host:~/acton-zlib$ acton test Tests - module test_zlib: decompress: FAIL: 195 runs in 50.728ms testing.NotEqualError: Expected equal values but they are non-equal. A: b'x\\x9c\\xcbH\\xcd\\xc9\\xc9\\x07' B: b'hello' compress: FAIL: 197 runs in 50.886ms testing.NotEqualError: Expected equal values but they are non-equal. A: b'hello' B: b'x\\x9c\\xcbH\\xcd\\xc9\\xc9\\x07' roundtrip: OK: 226 runs in 50.890ms 2 out of 3 tests failed (26.354s) user@host:~/acton-zlib$ As expected, the roundtrip test goes through, since we just return the input data while the compress and decompress tests fail.","breadcrumbs":"Working with Zig / C / C++ » Integrating a C library (zlib) » Add a test module","id":"83","title":"Add a test module"},"84":{"body":"Now let's fill in the rest of the owl. Below is the body of the zlibQ_compress function. The bulk of this code is not particularly interesting to this guide as it has more to do with standard C usage of zlib, but a few things are worth noting. B_bytes zlibQ_compress(B_bytes data) { if (data->nbytes == 0) { return data; } // Prepare the zlib stream int ret; z_stream stream; memset(&stream, 0, sizeof(stream)); ret = deflateInit(&stream, Z_DEFAULT_COMPRESSION); if (ret != Z_OK) { $RAISE((B_BaseException)$NEW(B_ValueError, to$str(\"Unable to compress data, init error: %d\", ret))); } // Set the input data stream.avail_in = data->nbytes; stream.next_in = (Bytef*)data->str; // Allocate the output buffer using Acton's malloc size_t output_size = deflateBound(&stream, data->nbytes); Bytef* output_buffer = (Bytef*)acton_malloc_atomic(output_size); stream.avail_out = output_size; stream.next_out = output_buffer; // Perform the deflate operation ret = deflate(&stream, Z_FINISH); if (ret != Z_STREAM_END) { $RAISE((B_BaseException)$NEW(B_ValueError, $FORMAT(\"Unable to compress data, error: %d\", ret))); } // Clean up deflateEnd(&stream); return actBytesFromCStringNoCopy(output_buffer);\n} Memory management is always top of mind when writing C, as it the case here. We can allocate memory via the Acton GC-heap malloc or just plain malloc() (the non-GC heap, to be explicit). Since zlibQ_compress is pure, we have no state leaking out of the function other than via its return value. All return values must be allocated on the Acton GC heap, so we know we must use acton_malloc for any value that we return. Any other local variables within the function can use classic malloc, as long as we make sure to explicitly free it up. For class or actor methods, any allocation for class or actor attributes must be performed using the Acton GC malloc, since there is no destructor or similar where a free can be inserted, so using classic malloc would be bound to leak. Also note that in this particular case, we know that the returned bytes value itself is not going to contain any pointers, so by using acton_malloc_atomic we can get a chunk of memory that will not be internally scanned by the GC, which saves a bit of time and thus improves GC performance. If we allocate structs that do carry pointers, they must use the normal acton_malloc(). actBytesFromCStringNoCopy(output_buffer) takes the buffer (already allocated via acton_malloc_atomic()) and wraps it up as a boxed value of the type B_bytes that we return. Also note how we convert Zlib errors to Acton exceptions where necessary. Running the test, the compress test now passes while roundtrip has stopped working (since decompress is not implemented yet): user@host:~/acton-zlib$ acton test\nTests - module test_zlib: decompress: FAIL: 158 runs in 50.175ms testing.NotEqualError: Expected equal values but they are non-equal. A: b'x\\x9c\\xcbH\\xcd\\xc9\\xc9\\x07' B: b'hello' compress: OK: 167 runs in 50.225ms roundtrip: FAIL: 147 runs in 50.266ms testing.NotEqualError: Expected equal values but they are non-equal. A: b'hello' B: b'x\\x9c\\xcbH\\xcd\\xc9\\xc9\\x07' 2 out of 3 tests failed (0.941s) user@host:~/acton-zlib$","breadcrumbs":"Working with Zig / C / C++ » Integrating a C library (zlib) » Implement the compress function","id":"84","title":"Implement the compress function"},"85":{"body":"Much like the compress function, the decompress function mostly relates to how zlib itself and its interface works. We use the same wrappers and transform errors to exceptions. B_bytes zlibQ_decompress(B_bytes data) { if (data->nbytes == 0) { return data; } // Prepare the zlib stream int ret; z_stream stream; memset(&stream, 0, sizeof(stream)); ret = inflateInit(&stream); if (ret != Z_OK) { $RAISE((B_BaseException)$NEW(B_ValueError, $FORMAT(\"Unable to decompress data, init error: %d\", ret))); } // Set the input data stream.avail_in = data->nbytes; stream.next_in = (Bytef*)data->str; // Allocate the output buffer using Acton's malloc size_t output_size = 2 * data->nbytes; // Initial output buffer size Bytef* output_buffer = (Bytef*)acton_malloc_atomic(output_size); memset(output_buffer, 0, output_size); stream.avail_out = output_size; stream.next_out = output_buffer; // Perform the inflate operation, increasing the output buffer size if needed do { ret = inflate(&stream, Z_NO_FLUSH); if (ret == Z_BUF_ERROR) { // Increase the output buffer size and continue decompressing size_t new_output_size = output_size * 2; output_buffer = (Bytef*)acton_realloc(output_buffer, new_output_size); stream.avail_out = new_output_size - stream.total_out; stream.next_out = output_buffer + stream.total_out; } else if (ret != Z_OK) { $RAISE((B_BaseException)$NEW(B_ValueError, $FORMAT(\"Unable to decompress data, error: %d\", ret))); } } while (ret == Z_BUF_ERROR); // Clean up inflateEnd(&stream); return actBytesFromCStringNoCopy(output_buffer);\n}","breadcrumbs":"Working with Zig / C / C++ » Integrating a C library (zlib) » Implement the decompress function","id":"85","title":"Implement the decompress function"},"86":{"body":"user@host:~/acton-zlib$ acton test Tests - module test_zlib: decompress: OK: 42 runs in 51.065ms compress: OK: 25 runs in 50.032ms roundtrip: OK: 24 runs in 50.053ms All 3 tests passed (0.738s) user@host:~/acton-zlib$ And with that, we're done! A simple wrapper around zlib, which is also available on GitHub if you want to study it further.","breadcrumbs":"Working with Zig / C / C++ » Integrating a C library (zlib) » Final test","id":"86","title":"Final test"},"87":{"body":"The Acton Run Time System is what sets up the environment in which an Acton program runs. It performs bootstrapping of the root actor. The worker threads that carry out actual execution of actor continuations are part of the RTS. It is the RTS that handles scheduling of actors and the timer queue. All I/O is handled between modules in the standard library in conjunction with the RTS.","breadcrumbs":"Run Time System » Run Time System","id":"87","title":"Run Time System"},"88":{"body":"It is possible to configure the RTS through a number of arguments. All arguments to the RTS start with --rts-. Use --rts-help to see a list of all arguments: $ actonc examples/helloworld.act\nBuilding file examples/helloworld.act Compiling helloworld.act for release Finished compilation in 0.012 s Final compilation step Finished final compilation step in 0.198 s\n$ examples/helloworld --rts-help\nThe Acton RTS reads and consumes the following options and arguments. All\nother parameters are passed verbatim to the Acton application. Option\narguments can be passed either with --rts-option=ARG or --rts-option ARG --rts-debug RTS debug, requires program to be compiled with --dev --rts-ddb-host=HOST DDB hostname --rts-ddb-port=PORT DDB port [32000] --rts-ddb-replication=FACTOR DDB replication factor [3] --rts-node-id=ID RTS node ID --rts-rack-id=RACK RTS rack ID --rts-dc-id=DATACENTER RTS datacenter ID --rts-host=RTSHOST RTS hostname --rts-help Show this help --rts-mon-log-path=PATH Path to RTS mon stats log --rts-mon-log-period=PERIOD Periodicity of writing RTS mon stats log entry --rts-mon-on-exit Print RTS mon stats to stdout on exit --rts-mon-socket-path=PATH Path to unix socket to expose RTS mon stats --rts-no-bt Disable automatic backtrace --rts-log-path=PATH Path to RTS log --rts-log-stderr Log to stderr in addition to log file --rts-verbose Enable verbose RTS output --rts-wthreads=COUNT Number of worker threads [#CPU cores] $","breadcrumbs":"Run Time System » Arguments","id":"88","title":"Arguments"},"89":{"body":"Per default, the RTS starts as many worker threads as there are CPU threads available, although at least 4. This is optimized for server style workloads where it is presumed that the Acton program is the sole program consuming considerable resources. When there are 4 and more CPU threads available, the worker threads are pinned to each respective CPU thread. It is possible to specify the number of worker threads with --rts-wthreads=COUNT. Actor method continuations run to completion, which is why it is wise not to set this value too low. Per default a minimum of 4 threads are started even when there are fewer CPU threads available, which means the operating system will switch between the threads inducing context switching overhead.","breadcrumbs":"Run Time System » Worker threads","id":"89","title":"Worker threads"},"9":{"body":"Acton supports a plethora of primitive data types. int integers, like 1, 2, 123512, -6542 or 1267650600228229401496703205376 int is arbitrary precision and can grow beyond machine word sizes i16 is a fixed size signed 16 bit integer i32 is a fixed size signed 32 bit integer i64 is a fixed size signed 64 bit integer u16 is a fixed size unsigned 16 bit integer u32 is a fixed size unsigned 32 bit integer u64 is a fixed size unsigned 64 bit integer float 64 bit float, like 1.3 or -382.31 bool boolean, like True or False str strings, like foo strings support Unicode characters lists like [1, 2, 3] or [\"foo\", \"bar\"] dictionaries like {\"foo\": 1, \"bar\": 3} tuples like (1, \"foo\") sets like {\"foo\", \"bar\"} In Acton, mutable state can only be held by actors. Global definitions in modules are constant. Assigning to the same name in an actor will shadow the global variable. Source: foo = 3 # this is a global constant and cannot be changed def printfoo(): print(\"global foo:\", foo) # this will print the global foo actor main(env): # this sets a local variable with the name foo, shadowing the global constant foo foo = 4 print(\"local foo, shadowing the global foo:\", foo) printfoo() a = u16(1234) print(\"u16:\", a) env.exit(0) Output: local foo, shadowing the global foo: 4\nglobal foo: 3\nu16: 1234","breadcrumbs":"Language » Variable data types","id":"9","title":"Variable data 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ter","stemmer"],"ref":"id","version":"0.9.5"},"results_options":{"limit_results":30,"teaser_word_count":30},"search_options":{"bool":"OR","expand":true,"fields":{"body":{"boost":1},"breadcrumbs":{"boost":1},"title":{"boost":2}}}} \ No newline at end of file diff --git a/learn/acton-by-example/security.html b/learn/acton-by-example/security.html new file mode 100644 index 0000000..54cfe4a --- /dev/null +++ b/learn/acton-by-example/security.html @@ -0,0 +1,228 @@ + + + + + + Security + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    + + + + + + + + + + + + + +
    + +
    + + + + + + + + +
    +
    +

    Security

    +

    Security is an important part of application development and is best considered throughout the entire design and development time of an application rather than as an bolted-on after-thought.

    +

    In Acton, the separation of actors offers the primary means of security. Access to actors (like being able to call their methods) requires a reference to the relevant actor. Anyone with a reference can access the actor in question. It is not possible to forge a reference.

    +

    This is similar to the object capability (OCAP) model.

    +

    Since there are no global variables, the only reachable state is local to an actor or reachable via a reference to another actor. This means you cannot reach something out of thin air. You have to be explicitly passed a reference to anything you need to access.

    +

    The security model based on capability references extends for accessing the world outside of the Acton system.

    +
    actor Foo():
+    def foo():
+        print("foofoo")
+    
+actor Bar():
+    # Without a reference to f we cannot call its foo() function
+    
+actor main(env):
+    f = Foo()
+    f.foo()
+    b = Bar()
+
    + +
    + + +
    +
    + + + +
    + + + + + + + + + + + + + + + + + + + +
    + + diff --git a/learn/acton-by-example/security/capabilities.html b/learn/acton-by-example/security/capabilities.html new file mode 100644 index 0000000..36c957f --- /dev/null +++ b/learn/acton-by-example/security/capabilities.html @@ -0,0 +1,241 @@ + + + + + + Capabilities + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    + + + + + + + + + + + + + +
    + +
    + + + + + + + + +
    +
    +

    Capabilities to access outside world

    +

    Any interesting program will need to interact with the outside world, like accessing the network or reading files. In C and many other languages, it is possible for any function at any time to simply make calls and access the external world, like read a file (maybe your private SSH key and send it over the network). Acton makes all such access to the outside world explicit through capability references.

    +

    In an Acton program, having a reference to an actor gives you the ability to do something with that actor. Without a reference, it is impossible to access an actor and it is not possible to forge a reference. This provides a simple and effective security model that also extends to accessing things outside of the Acton system, like files or remote hosts over the network.

    +

    Things outside of the actor world are represented by actors and to access such actors, a capability reference is required. For example, we can use TCPConnection to connect to a remote host over the network using TCP. The first argument is of the type TCPConnectCap, which is the capability of using a TCP socket to connect to a remote host. This is enforced by the Acton type system. Not having the correct capability reference will lead to a compilation error.

    +

    TCPConnectCap is part of a capability hierarchy, starting with the generic WorldCap and becoming further and further restricted:

    +
    +

    WorldCap >> NetCap >> TCPCap >> TCPConnectCap

    +
    +

    The root actor (typically main()) takes as its first argument a reference to Env, the environment actor. env.cap is WorldCap, the root capability for accessing the outside world.

    +
    import net
+
+actor main(env):
+
+    def on_connect(c):
+        c.close()
+
+    def on_receive(c, data):
+        pass
+
+    def on_error(c, msg):
+        print("Client ERR", msg)
+
+    connect_cap = net.TCPConnectCap(net.TCPCap(net.NetCap(env.cap)))
+    client = net.TCPConnection(connect_cap, env.argv[1], int(env.argv[2]), on_connect, on_receive, on_error)
+
    +

    Capability based privilege restriction prevent some deeply nested part of a program, perhaps in a dependency to a dependency, to perform operations unknown to the application author. Access to capabilities must be explicitly handed out and a program can only perform operations based on the capabilities it has access to.

    +

    Restrict and delegate

    +

    Functions and methods taking a Cap argument normally takes the most restricted or refined capability. In the example with setting up a TCP connection, it is the TCPConnectCap capability we need, which is the most restricted.

    +

    Rather than handing over WorldCap to a function, consider what capabilities that function actually needs and only provide those. If a library asks for wider capabilities than it needs, do not use it.

    +

    Capability friendly interfaces

    +

    As a library author, you should only require precisely the capabilities that the library requires. Do not be lazy and require WorldCap. If the library offers multiple functionalities, for example logging to files or to a remote host, strive to make parts optional such that it the application developer and choose to only use a subset and only provide the capability required for that subset.

    + +
    + + +
    +
    + + + +
    + + + + + + + + + + + + + + + + + + + +
    + + diff --git a/learn/acton-by-example/security/intro.html b/learn/acton-by-example/security/intro.html new file mode 100644 index 0000000..05d143b --- /dev/null +++ b/learn/acton-by-example/security/intro.html @@ -0,0 +1,211 @@ + + + + + + Security and Trust + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    + + + + + + + + + + + + + +
    + +
    + + + + + + + + +
    +
    +

    Security and Trust (or the lack thereof)

    + +
    + + +
    +
    + + + +
    + + + + + + + + + + + + + + + + + + + +
    + + diff --git a/learn/acton-by-example/stdlib.html b/learn/acton-by-example/stdlib.html new file mode 100644 index 0000000..bd53c7e --- /dev/null +++ b/learn/acton-by-example/stdlib.html @@ -0,0 +1,211 @@ + + + + + + Standard library + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    + + + + + + + + + + + + + +
    + +
    + + + + + + + + +
    +
    +

    Standard library

    + +
    + + +
    +
    + + + +
    + + + + + + + + + + + + + + + + + + + +
    + + diff --git a/learn/acton-by-example/stdlib/re.html b/learn/acton-by-example/stdlib/re.html new file mode 100644 index 0000000..73940ee --- /dev/null +++ b/learn/acton-by-example/stdlib/re.html @@ -0,0 +1,224 @@ + + + + + + Regular Expression + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    + + + + + + + + + + + + + +
    + +
    + + + + + + + + +
    +
    +

    Regular expressions

    +

    Source:

    +
    import re
+
+actor main(env):
+    m = re.match(r"(foo[a-z]+)", "bla bla foobar abc123")
+    if m is not None:
+        print("Got a match:", m.group[1])
+
+    env.exit(0)
+
    +

    Output:

    +
    Got a match: foobar
+
    + +
    + + +
    +
    + + + +
    + + + + + + + + + + + + + + + + + + + +
    + + diff --git a/learn/acton-by-example/svgbob.css b/learn/acton-by-example/svgbob.css new file mode 100644 index 0000000..ac3f32c --- /dev/null +++ b/learn/acton-by-example/svgbob.css @@ -0,0 +1,4 @@ + /* Ensure text is legible in all themes. */ +svg text { + fill: var(--fg); +} diff --git a/learn/acton-by-example/testing.html b/learn/acton-by-example/testing.html new file mode 100644 index 0000000..ba0a174 --- /dev/null +++ b/learn/acton-by-example/testing.html @@ -0,0 +1,264 @@ + + + + + + Testing + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    + + + + + + + + + + + + + +
    + +
    + + + + + + + + +
    +
    +

    Testing

    +

    Testing your code is a really good idea! While Acton's type system allows interfaces to be precisely defined, it is imperative that the behavior of a function or actor is tested!

    +

    Test functions are automatically discovered by the compiler. Run tests with acton test. Import the testing module and name your test functions starting with _test. The type signature should match the test intended test category. Use the assertion functions available in the testing module. Here is a simple unit test:

    +

    Source:

    +
    import testing
+
+def _test_simple():
+    testing.assertEqual(1, 1)
+
    +

    Run:

    +
    acton test
+
    +

    Output:

    +
    Building project in /home/user/foo
+  Compiling example.act for release
+   Finished compilation in   0.016 s
+  Final compilation step
+   Finished final compilation step in   0.437 s
+
+Tests - module example:
+  simple:                OK: 1523 runs in 50.001ms
+
+All 1 tests passed (0.604s)
+
+
    +

    There are 4 kinds of tests

    +
      +
    • unit tests +
        +
      • small simple tests of pure functions
        • +
      +
      • +
    • synchronous actor tests +
        +
      • involving one or more actors, returning results synchronously
        • +
      +
      • +
    • asynchronous actor tests +
        +
      • involving actors but use asynchronous callbacks for return values
        • +
      +
      • +
    • environment tests +
        +
      • similar to async actor test in that a callback is used for the return value
        • +
      • these tests have access to the full environment via the env argument and can thus communicate with the outside world +
          +
        • this is a source of non-determinism so be mindful of this and try to avoid non-deterministic functions to the largest degree possible
          • +
        +
        • +
      +
      • +
    +

    When possible, strive to use unit tests rather than actor based tests and strive to avoid env tests.

    + +
    + + +
    +
    + + + +
    + + + + + + + + + + + + + + + + + + + +
    + + diff --git a/learn/acton-by-example/testing/async_actor_test.html b/learn/acton-by-example/testing/async_actor_test.html new file mode 100644 index 0000000..19366ec --- /dev/null +++ b/learn/acton-by-example/testing/async_actor_test.html @@ -0,0 +1,251 @@ + + + + + + Async actor tests + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    + + + + + + + + + + + + + +
    + +
    + + + + + + + + +
    +
    +

    Async actor tests

    +

    Source:

    +
    import logging
+import testing
+
+actor MathTester():
+    def add(a, b):
+        return a + b
+
+actor AsyncTester(report_result, log_handler):
+    log = logging.Logger(log_handler)
+    def test():
+        log.info("AsyncTester.test()", None)
+        report_result(True, None)
+
+def _test_asyncact1(report_result: action(?bool, ?Exception) -> None, log_handler: logging.Handler) -> None:
+    """A test using actors and asynchronous control flow"""
+    # We make use of an actor as the central point for running our test logic.
+    # This _test_asyncact function is just a wrapper picked up by the acton
+    # test framework runner
+    s = AsyncTester(report_result, log_handler)
+    s.test()
+
    +

    Run:

    +
    acton test
+
    +

    Output:

    +
    Building project in /home/user/foo
+  Compiling example.act for release
+   Finished compilation in   0.028 s
+  Final compilation step
+   Finished final compilation step in   0.516 s
+
+Tests - module example:
+  asyncact1:             OK: 1171 runs in 56.181ms
+
+All 1 tests passed (0.695s)
+
+
    +

    If a particular module is written to be called asynchronously, you will need to use asynchronous tests to test it.

    +

    The test discovery finds asynchronous actor tests based on the name starting with _test_ and has a function signature of proc(action(?bool, ?Exception) -> None, logging.Handler) -> None.

    + +
    + + +
    +
    + + + +
    + + + + + + + + + + + + + + + + + + + +
    + + diff --git a/learn/acton-by-example/testing/env_test.html b/learn/acton-by-example/testing/env_test.html new file mode 100644 index 0000000..60dbc9b --- /dev/null +++ b/learn/acton-by-example/testing/env_test.html @@ -0,0 +1,247 @@ + + + + + + Env tests + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    + + + + + + + + + + + + + +
    + +
    + + + + + + + + +
    +
    +

    Env tests

    +

    When you need to test functionality that accesses the environment, you need an env test. Do beware of errors related to test setup though, since you now depend on the external environment. TCP ports that you try to listen to might be already taken. Files that you assume exist might not be there.

    +

    Source:

    +
    import logging
+import testing
+
+actor EnvTester(report_result, env, log_handler):
+    log = logging.Logger(log_handler)
+    def test():
+        log.info("EnvTester.test()", None)
+        report_result(True, None)
+
+def _test_envtest1(report_result: action(?bool, ?Exception) -> None, env: Env, log_handler: logging.Handler) -> None:
+    """A test interacting with the environment"""
+    # We make use of an actor as the central point for running our test logic.
+    # This _test_envtest1 function is just a wrapper picked up by the acton
+    # test framework runner
+    s = EnvTester(report_result, env, log_handler)
+    s.test()
+
    +

    Run:

    +
    acton test
+
    +

    Output:

    +
    Building project in /home/user/foo
+  Compiling example.act for release
+   Finished compilation in   0.023 s
+  Final compilation step
+   Finished final compilation step in   0.484 s
+
+Tests - module example:
+  envtest1:              OK: 1213 runs in 50.135ms
+
+All 1 tests passed (0.689s)
+
+
    +

    The test discovery finds env actor tests based on the name starting with _test_ and has a function signature of proc(action(?bool, ?Exception) -> None, Env, logging.Handler) -> None.

    + +
    + + +
    +
    + + + +
    + + + + + + + + + + + + + + + + + + + +
    + + diff --git a/learn/acton-by-example/testing/failures_errors.html b/learn/acton-by-example/testing/failures_errors.html new file mode 100644 index 0000000..9eaa874 --- /dev/null +++ b/learn/acton-by-example/testing/failures_errors.html @@ -0,0 +1,260 @@ + + + + + + Failures vs errors + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    + + + + + + + + + + + + + +
    + +
    + + + + + + + + +
    +
    +

    Failures vs errors

    +

    Tests can have tree different outcomes; success, failure and error.

    +

    Success and failure are the two common cases where success is when the test meets the expected assertions and a failure is when it fails to meet a test assertion like testing.assertEqual(1, 2). We also distinguish a third case for test errors which is when a test does not run as expected, hitting an unexpected exception. This could indicate a design issue or that the test environment is not as expected.

    +

    All test assertions raise exceptions inheriting from AssertionError which are considered test failures. Any other exception will be considered a test error.

    +

    For example, if a test attempts to retrieve https://dummyjson.com/products/1 and check that the returned JSON looks a certain way, it would be a test failure if the returned JSON does not match the expected value. If we try to connect with an invalid URL, like htp:// we would get a different exception and that would be considered a test error. It's probably a bad idea to try to connect to something on the Internet in a test, so avoid that and other sources of non-determinism when possible.

    +

    Unit tests

    +

    Source:

    +
    import random
+import testing
+
+def _test_failure():
+    testing.assertEqual(1, 2)
+
+def _test_flaky():
+    i = random.randint(0, 2)
+    if i == 0:
+        return
+    elif i == 1:
+        testing.assertEqual(1, 2)
+    else:
+        raise ValueError("Random failure")
+
+def _test_error() -> None:
+    # Now we could never use a unit test to fetch things from the Internet
+    # anyway, but it's just to show what the results look like
+    raise ValueError()
+
+
    +

    Run:

    +
    acton test
+
    +

    Output:

    +
    Building project in /home/user/foo
+  Compiling example.act for release
+   Finished compilation in   0.020 s
+  Final compilation step
+   Finished final compilation step in   0.482 s
+
+Tests - module example:
+  error:                 ERR: 454 errors out of  454 runs in 52.733ms
+    ValueError: 
+  flaky:                 FLAKY FAIL: 231 failures out of  471 runs in 52.819ms
+    testing.NotEqualError: Expected equal values but they are non-equal. A: 1 B: 2
+  failure:               FAIL: 408 failures out of  408 runs in 52.837ms
+    testing.NotEqualError: Expected equal values but they are non-equal. A: 1 B: 2
+
+1 error and 2 failure out of 3 tests (0.691s)
+
+
    +

    Unit tests are a good starting point for testing small units of your program. Pure functions are deterministic and are thus preferable for tests over non-deterministic tests using actors. You are limited in what you can do though, since all called functions must be pure.

    + +
    + + +
    +
    + + + +
    + + + + + + + + + + + + + + + + + + + +
    + + diff --git a/learn/acton-by-example/testing/flaky.html b/learn/acton-by-example/testing/flaky.html new file mode 100644 index 0000000..609ee78 --- /dev/null +++ b/learn/acton-by-example/testing/flaky.html @@ -0,0 +1,253 @@ + + + + + + Flaky tests + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    + + + + + + + + + + + + + +
    + +
    + + + + + + + + +
    +
    +

    Flaky tests

    +

    Flaky tests are those that have different outcomes during different runs, i.e. they are not deterministic. To combat these, acton test will per default attempt to run tests multiple times to ensure that the result is the same. It runs as many test iterations as possible for at least 50ms. If a test is flaky, this will be displayed in the test output.

    +

    Source:

    +
    import random
+import testing
+
+def _test_flaky():
+    i = random.randint(0, 2)
+    if i == 0:
+        return
+    elif i == 1:
+        testing.assertEqual(1, 2)
+    else:
+        raise ValueError("Random failure")
+
    +

    Run:

    +
    acton test
+
    +

    Output:

    +
    Building project in /home/user/foo
+  Compiling example.act for release
+   Finished compilation in   0.017 s
+  Final compilation step
+   Finished final compilation step in   0.453 s
+
+Tests - module example:
+  flaky:                 FLAKY FAIL: 565 failures out of 1140 runs in 50.043ms
+    testing.NotEqualError: Expected equal values but they are non-equal. A: 1 B: 2
+
+1 out of 1 tests failed (0.625s)
+
+
    +
    +
    +
    +

    Note

    +
    + +
    +
    +

    Note how this test case is only made possible because the random module has incorrect effects. The type says it is pure while in reality, it is not. There is an issue to improve this by applying a proper effect to the random module, see https://github.com/actonlang/acton/issues/1729, after which this example needs to be rewritten.

    +
    +
    + +
    + + +
    +
    + + + +
    + + + + + + + + + + + + + + + + + + + +
    + + diff --git a/learn/acton-by-example/testing/perf_record.html b/learn/acton-by-example/testing/perf_record.html new file mode 100644 index 0000000..dc773da --- /dev/null +++ b/learn/acton-by-example/testing/perf_record.html @@ -0,0 +1,249 @@ + + + + + + Perf comparison + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    + + + + + + + + + + + + + +
    + +
    + + + + + + + + +
    +
    +

    Performance comparisons

    +

    When running in performance mode you can record a snapshot of performance using acton test perf --record. A perf_data file is written to disk with the stored performance data. Subsequent test runs will read this file and show a comparison. The difference is displayed as a percentage increase or decrease in time.

    +

    Source:

    +
    import testing
+
+def _test_simple():
+    a = 0
+    for i in range(99999):
+        a += i
+
    +

    Run:

    +
    acton test perf --record
+acton test perf
+
    +

    Output:

    +
    Building project in /home/user/foo
+  Compiling example.act for release
+   Finished compilation in   0.017 s
+  Final compilation step
+   Finished final compilation step in   0.452 s
+
+Tests - module example:
+  simple:                OK:  3.25ms            Avg:  4.16ms             7.38ms             122 runs in 1006.002ms
+
+All 1 tests passed (1.565s)
+
+Building project in /home/user/foo
+  Compiling example.act for release
+   Already up to date, in    0.000 s
+  Final compilation step
+   Finished final compilation step in   0.116 s
+
+Tests - module example:
+  simple:                OK:  3.23ms -0.50%     Avg:  4.17ms +0.19%      6.35ms -13.91%     119 runs in 1001.375ms
+
+All 1 tests passed (1.215s)
+
+
    +

    (note that the output is rather wide, scroll horizontally to see the full output)

    + +
    + + +
    +
    + + + +
    + + + + + + + + + + + + + + + + + + + +
    + + diff --git a/learn/acton-by-example/testing/performance.html b/learn/acton-by-example/testing/performance.html new file mode 100644 index 0000000..29f0e43 --- /dev/null +++ b/learn/acton-by-example/testing/performance.html @@ -0,0 +1,238 @@ + + + + + + Performance testing + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    + + + + + + + + + + + + + +
    + +
    + + + + + + + + +
    +
    +

    Performance testing

    +

    It is also possible to run tests in a performance mode, which uses the same basic test definitions (so you can run your tests both as logic test and for performance purposes) but alters the way in which the tests are run. In performance mode, only a single test will be run at a time unlike the normal mode in which many tests are typically run concurrently.

    +

    To get good numbers in performance mode, it's good if test functions run for at least a couple of milliseconds. With very short tests, very small differences lead to very large percentage differences.

    +

    Source:

    +
    import testing
+
+def _test_simple():
+    a = 0
+    for i in range(99999):
+        a += i
+
    +

    Run:

    +
    acton test perf
+
    +

    Output:

    +
    Building project in /home/user/foo
+  Compiling example.act for release
+   Finished compilation in   0.016 s
+  Final compilation step
+   Finished final compilation step in   0.451 s
+
+Tests - module example:
+  simple:                OK:  3.21ms            Avg:  4.20ms             5.11ms             106 runs in 1005.261ms
+
+All 1 tests passed (1.571s)
+
+
    +

    (note that the output is rather wide, scroll horizontally to see the full output)

    + +
    + + +
    +
    + + + +
    + + + + + + + + + + + + + + + + + + + +
    + + diff --git a/learn/acton-by-example/testing/sync_actor_test.html b/learn/acton-by-example/testing/sync_actor_test.html new file mode 100644 index 0000000..b8b3c81 --- /dev/null +++ b/learn/acton-by-example/testing/sync_actor_test.html @@ -0,0 +1,251 @@ + + + + + + Sync actor tests + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    + + + + + + + + + + + + + +
    + +
    + + + + + + + + +
    +
    +

    Sync actor tests

    +

    Source:

    +
    import logging
+import testing
+
+actor MathTester():
+    def add(a, b):
+        return a + b
+
+actor SyncTester(log_handler):
+    def test():
+        m = MathTester()
+        testing.assertEqual(m.add(1, 2), 3, "1 + 2 = 3")
+
+def _test_syncact(log_handler: logging.Handler) -> None:
+    """A test using actors and synchronous control flow"""
+    # We make use of an actor as the central point for running our test logic.
+    # This _test_syncact function is just a wrapper picked up by the acton
+    # test framework runner
+    s = SyncTester(log_handler)
+    return s.test()
+
    +

    Run:

    +
    acton test
+
    +

    Output:

    +
    Building project in /home/user/foo
+  Compiling example.act for release
+   Finished compilation in   0.027 s
+  Final compilation step
+   Finished final compilation step in   0.526 s
+
+Tests - module example:
+  syncact:               OK: 1175 runs in 50.005ms
+
+All 1 tests passed (0.655s)
+
+
    +

    Since the Acton RTS is multi-threaded and actors are scheduled concurrently on worker threads, using actors imply a degree of non-determinism and so unlike unit tests, which are completely deterministic, actors tests are fundamentally non-deterministic. You can still write deterministic tests as long as you pay attention to how you construct your test results.

    +

    For example, actor A might be scheduled before or after actor B so if the test relies on ordering of the output, it could fail or succeed intermittently. Interacting with the surrounding environment by reading files or communicating over the network introduces even more sources of non-determinism. Avoid it if you can.

    +

    The test discovery finds synchronous actor tests based on the name starting with _test_ and has a function signature of mut(logging.Handler) -> None or pure(logging.Handler) -> None.

    + +
    + + +
    +
    + + + +
    + + + + + + + + + + + + + + + + + + + +
    + + diff --git a/learn/acton-by-example/testing/unit_test.html b/learn/acton-by-example/testing/unit_test.html new file mode 100644 index 0000000..38347ab --- /dev/null +++ b/learn/acton-by-example/testing/unit_test.html @@ -0,0 +1,247 @@ + + + + + + Unit tests + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    + + + + + + + + + + + + + +
    + +
    + + + + + + + + +
    +
    +

    Unit tests

    +

    Source:

    +
    import testing
+
+def _test_simple():
+    foo = 3+4
+    testing.assertEqual(7, foo)
+
    +

    Run:

    +
    acton test
+
    +

    Output:

    +
    Building project in /home/user/foo
+  Compiling example.act for release
+   Finished compilation in   0.016 s
+  Final compilation step
+   Finished final compilation step in   0.442 s
+
+Tests - module example:
+  simple:                OK: 1565 runs in 50.079ms
+
+All 1 tests passed (0.600s)
+
+
    +

    Unit tests are a good starting point for testing small units of your program. Pure functions are deterministic and are thus preferable for tests over non-deterministic tests using actors. You are limited in what you can do though, since all called functions must be pure.

    +

    The test discovery finds unit tests based on the name starting with _test_ and has a function signature of mut() -> None or pure() -> None.

    +
    +
    +
    +

    Note

    +
    + +
    +
    +

    Once effect analysis has been improved in the compiler to contain scope local effects, the test discovery will only consider pure functions to be unit tests. See https://github.com/actonlang/acton/issues/1632

    +
    +
    + +
    + + +
    +
    + + + +
    + + + + + + + + + + + + + + + + + + + +
    + + diff --git a/learn/acton-by-example/theme/tabs.css b/learn/acton-by-example/theme/tabs.css new file mode 100644 index 0000000..8712b85 --- /dev/null +++ b/learn/acton-by-example/theme/tabs.css @@ -0,0 +1,25 @@ +.mdbook-tabs { + display: flex; +} + +.mdbook-tab { + background-color: var(--table-alternate-bg); + padding: 0.5rem 1rem; + cursor: pointer; + border: none; + font-size: 1.6rem; + line-height: 1.45em; +} + +.mdbook-tab.active { + background-color: var(--table-header-bg); + font-weight: bold; +} + +.mdbook-tab-content { + padding: 1rem 0rem; +} + +.mdbook-tab-content table { + margin: unset; +} diff --git a/learn/acton-by-example/theme/tabs.js b/learn/acton-by-example/theme/tabs.js new file mode 100644 index 0000000..8ba5e87 --- /dev/null +++ b/learn/acton-by-example/theme/tabs.js @@ -0,0 +1,75 @@ +/** + * Change active tab of tabs. + * + * @param {Element} container + * @param {string} name + */ +const changeTab = (container, name) => { + for (const child of container.children) { + if (!(child instanceof HTMLElement)) { + continue; + } + + if (child.classList.contains('mdbook-tabs')) { + for (const tab of child.children) { + if (!(tab instanceof HTMLElement)) { + continue; + } + + if (tab.dataset.tabname === name) { + tab.classList.add('active'); + } else { + tab.classList.remove('active'); + } + } + } else if (child.classList.contains('mdbook-tab-content')) { + if (child.dataset.tabname === name) { + child.classList.remove('hidden'); + } else { + child.classList.add('hidden'); + } + } + } +}; + +document.addEventListener('DOMContentLoaded', () => { + const tabs = document.querySelectorAll('.mdbook-tab'); + for (const tab of tabs) { + tab.addEventListener('click', () => { + if (!(tab instanceof HTMLElement)) { + return; + } + + if (!tab.parentElement || !tab.parentElement.parentElement) { + return; + } + + const container = tab.parentElement.parentElement; + const name = tab.dataset.tabname; + const global = container.dataset.tabglobal; + + changeTab(container, name); + + if (global) { + localStorage.setItem(`mdbook-tabs-${global}`, name); + + const globalContainers = document.querySelectorAll( + `.mdbook-tabs-container[data-tabglobal="${global}"]` + ); + for (const globalContainer of globalContainers) { + changeTab(globalContainer, name); + } + } + }); + } + + const containers = document.querySelectorAll('.mdbook-tabs-container[data-tabglobal]'); + for (const container of containers) { + const global = container.dataset.tabglobal; + + const name = localStorage.getItem(`mdbook-tabs-${global}`); + if (name && document.querySelector(`.mdbook-tab[data-tabname=${name}]`)) { + changeTab(container, name); + } + } +}); diff --git a/learn/acton-by-example/toc.html b/learn/acton-by-example/toc.html new file mode 100644 index 0000000..c4bdc53 --- /dev/null +++ b/learn/acton-by-example/toc.html @@ -0,0 +1,35 @@ + + + + + + + + + + + + + + + + + + + + + + +
    1. Getting started
      ❱
      1. Hello World
      2. Installation
        ❱
        1. Tip / Nightly
      4. Acton scripts
      5. Acton Projects
      6. Running Tests
    3. Language
      ❱
      1. Variable data types
        ❱
        1. Scalars
          ❱
          1. float
        3. Lists
        4. Dictionaries
        5. Tuples
        6. Sets
      3. Functions
        ❱
        1. Actor methods
        2. Higher order functions
      5. Types
        ❱
        1. Explicit types
        2. Generics
      7. Classes
        ❱
        1. Inheritance
      9. Protocols
        ❱
        1. Method Dispatch
      11. Actors
        ❱
        1. Root Actor
        2. Lifetime
        3. Attributes
        4. Concurrency
        5. Sync Method calls
        6. Async Method calls
        7. Cleanup
      13. Control flow
        ❱
        1. actors
        2. if / elif / else
        3. for
        4. while
        5. after / sleep
      15. Security
        ❱
        1. Capabilities
      17. Environment
        ❱
        1. Environment variables
        2. Reading stdin input
        3. Interactive stdin input
      19. Modules
    5. Standard library
      ❱
      1. Regular Expression
    7. Testing
      ❱
      1. Unit tests
      2. Sync actor tests
      3. Async actor tests
      4. Env tests
      5. Failures vs errors
      6. Flaky tests
      7. Performance testing
      8. Perf comparison
    9. Build System
    10. Package Management
      ❱
      1. Add Dependency
      2. Local Dependencies
      3. Remove Dependency
      4. Fetch Deps (Airplane mode)
      5. Zig / C / C++ dependencies
    12. Security and Trust
    13. Working with Zig / C / C++
      ❱
      1. Integrating a C library (zlib)
    15. Run Time System
    + + diff --git a/learn/acton-by-example/toc.js b/learn/acton-by-example/toc.js new file mode 100644 index 0000000..1a7ddab --- /dev/null +++ b/learn/acton-by-example/toc.js @@ -0,0 +1,70 @@ +// Populate the sidebar +// +// This is a script, and not included directly in the page, to control the total size of the book. +// The TOC contains an entry for each page, so if each page includes a copy of the TOC, +// the total size of the page becomes O(n**2). +class MDBookSidebarScrollbox extends HTMLElement { + constructor() { + super(); + } + connectedCallback() { + this.innerHTML = '
    1. Getting started
      ❱
      1. Hello World
      2. Installation
        ❱
        1. Tip / Nightly
      4. Acton scripts
      5. Acton Projects
      6. Running Tests
    3. Language
      ❱
      1. Variable data types
        ❱
        1. Scalars
          ❱
          1. float
        3. Lists
        4. Dictionaries
        5. Tuples
        6. Sets
      3. Functions
        ❱
        1. Actor methods
        2. Higher order functions
      5. Types
        ❱
        1. Explicit types
        2. Generics
      7. Classes
        ❱
        1. Inheritance
      9. Protocols
        ❱
        1. Method Dispatch
      11. Actors
        ❱
        1. Root Actor
        2. Lifetime
        3. Attributes
        4. Concurrency
        5. Sync Method calls
        6. Async Method calls
        7. Cleanup
      13. Control flow
        ❱
        1. actors
        2. if / elif / else
        3. for
        4. while
        5. after / sleep
      15. Security
        ❱
        1. Capabilities
      17. Environment
        ❱
        1. Environment variables
        2. Reading stdin input
        3. Interactive stdin input
      19. Modules
    5. Standard library
      ❱
      1. Regular Expression
    7. Testing
      ❱
      1. Unit tests
      2. Sync actor tests
      3. Async actor tests
      4. Env tests
      5. Failures vs errors
      6. Flaky tests
      7. Performance testing
      8. Perf comparison
    9. Build System
    10. Package Management
      ❱
      1. Add Dependency
      2. Local Dependencies
      3. Remove Dependency
      4. Fetch Deps (Airplane mode)
      5. Zig / C / C++ dependencies
    12. Security and Trust
    13. Working with Zig / C / C++
      ❱
      1. Integrating a C library (zlib)
    15. Run Time System
    '; + // Set the current, active page, and reveal it if it's hidden + let current_page = document.location.href.toString(); + if (current_page.endsWith("/")) { + current_page += "index.html"; + } + var links = Array.prototype.slice.call(this.querySelectorAll("a")); + var l = links.length; + for (var i = 0; i < l; ++i) { + var link = links[i]; + var href = link.getAttribute("href"); + if (href && !href.startsWith("#") && !/^(?:[a-z+]+:)?\/\//.test(href)) { + link.href = path_to_root + href; + } + // The "index" page is supposed to alias the first chapter in the book. + if (link.href === current_page || (i === 0 && path_to_root === "" && current_page.endsWith("/index.html"))) { + link.classList.add("active"); + var parent = link.parentElement; + if (parent && parent.classList.contains("chapter-item")) { + parent.classList.add("expanded"); + } + while (parent) { + if (parent.tagName === "LI" && parent.previousElementSibling) { + if (parent.previousElementSibling.classList.contains("chapter-item")) { + parent.previousElementSibling.classList.add("expanded"); + } + } + parent = parent.parentElement; + } + } + } + // Track and set sidebar scroll position + this.addEventListener('click', function(e) { + if (e.target.tagName === 'A') { + sessionStorage.setItem('sidebar-scroll', this.scrollTop); + } + }, { passive: true }); + var sidebarScrollTop = sessionStorage.getItem('sidebar-scroll'); + sessionStorage.removeItem('sidebar-scroll'); + if (sidebarScrollTop) { + // preserve sidebar scroll position when navigating via links within sidebar + this.scrollTop = sidebarScrollTop; + } else { + // scroll sidebar to current active section when navigating via "next/previous chapter" buttons + var activeSection = document.querySelector('#sidebar .active'); + if (activeSection) { + activeSection.scrollIntoView({ block: 'center' }); + } + } + // Toggle buttons + var sidebarAnchorToggles = document.querySelectorAll('#sidebar a.toggle'); + function toggleSection(ev) { + ev.currentTarget.parentElement.classList.toggle('expanded'); + } + Array.from(sidebarAnchorToggles).forEach(function (el) { + el.addEventListener('click', toggleSection); + }); + } +} +window.customElements.define("mdbook-sidebar-scrollbox", MDBookSidebarScrollbox); diff --git a/learn/acton-by-example/tomorrow-night.css b/learn/acton-by-example/tomorrow-night.css new file mode 100644 index 0000000..11752b8 --- /dev/null +++ b/learn/acton-by-example/tomorrow-night.css @@ -0,0 +1,104 @@ +/* Tomorrow Night Theme */ +/* https://github.com/jmblog/color-themes-for-highlightjs */ +/* Original theme - https://github.com/chriskempson/tomorrow-theme */ +/* https://github.com/jmblog/color-themes-for-highlightjs */ + +/* Tomorrow Comment */ +.hljs-comment { + color: #969896; +} + +/* Tomorrow Red */ +.hljs-variable, +.hljs-attribute, +.hljs-attr, +.hljs-tag, +.hljs-regexp, +.ruby .hljs-constant, +.xml .hljs-tag .hljs-title, +.xml .hljs-pi, +.xml .hljs-doctype, +.html .hljs-doctype, +.css .hljs-id, +.css .hljs-class, +.css .hljs-pseudo { + color: #cc6666; +} + +/* Tomorrow Orange */ +.hljs-number, +.hljs-preprocessor, +.hljs-pragma, +.hljs-built_in, +.hljs-literal, +.hljs-params, +.hljs-constant { + color: #de935f; +} + +/* Tomorrow Yellow */ +.ruby .hljs-class .hljs-title, +.css .hljs-rule .hljs-attribute { + color: #f0c674; +} + +/* Tomorrow Green */ +.hljs-string, +.hljs-value, +.hljs-inheritance, +.hljs-header, +.hljs-name, +.ruby .hljs-symbol, +.xml .hljs-cdata { + color: #b5bd68; +} + +/* Tomorrow Aqua */ +.hljs-title, +.hljs-section, +.css .hljs-hexcolor { + color: #8abeb7; +} + +/* Tomorrow Blue */ +.hljs-function, +.python .hljs-decorator, +.python .hljs-title, +.ruby .hljs-function .hljs-title, +.ruby .hljs-title .hljs-keyword, +.perl .hljs-sub, +.javascript .hljs-title, +.coffeescript .hljs-title { + color: #81a2be; +} + +/* Tomorrow Purple */ +.hljs-keyword, +.javascript .hljs-function { + color: #b294bb; +} + +.hljs { + display: block; + overflow-x: auto; + background: #1d1f21; + color: #c5c8c6; +} + +.coffeescript .javascript, +.javascript .xml, +.tex .hljs-formula, +.xml .javascript, +.xml .vbscript, +.xml .css, +.xml .hljs-cdata { + opacity: 0.5; +} + +.hljs-addition { + color: #718c00; +} + +.hljs-deletion { + color: #c82829; +} diff --git a/learn/acton-by-example/types/explicit.html b/learn/acton-by-example/types/explicit.html new file mode 100644 index 0000000..e7abef1 --- /dev/null +++ b/learn/acton-by-example/types/explicit.html @@ -0,0 +1,252 @@ + + + + + + Explicit types + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    + + + + + + + + + + + + + +
    + +
    + + + + + + + + +
    +
    +

    Explicit types

    +

    It is possible to explicitly specify the types of variables or arguments in a function. The syntax is similar to type hints in Python.

    +

    Source:

    +
    # 'a: int' means the first argument `a` should be of type int
+# 'b: str means the second argument `b` should be of type str
+# The function returns nothing
+def foo(a: int, b: str) -> None:
+    print(a, b)
+    
+# A functions type signature can also be written on a separate line
+bar : (int, str) -> None
+def bar(a, b):
+    print(a, b)
+
+actor main(env):
+    # i1 is explicitly specified as an integer while s1 is a str
+    i1 : int = 1234
+    s1 : str = "hello"
+    foo(i1, s1)
+    bar(i1, s1)
+
+    # The literal value 1234 is an integer, so when we assign it to i2, the
+    # compiler can easily infer that the type of i2 is int. Similarly for s2
+    # since the literal value "hello" is clearly a string
+    i2 = 1234
+    s2 = "hello"
+    foo(i2, s2)
+    bar(i2, s2)
+    
+    env.exit(0)
+
    +

    Compile and run:

    +
    actonc types.act
+./types
+
    +

    Output:

    +
    1234 hello
+1234 hello
+1234 hello
+1234 hello
+
    +

    Try changing the type of i1 or s1 and you will find that the compiler complains that it cannot solve the type constraints of the program.

    + +
    + + +
    +
    + + + +
    + + + + + + + + + + + + + + + + + + + +
    + + diff --git a/learn/acton-by-example/types/generics.html b/learn/acton-by-example/types/generics.html new file mode 100644 index 0000000..8c50793 --- /dev/null +++ b/learn/acton-by-example/types/generics.html @@ -0,0 +1,226 @@ + + + + + + Generics + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    + + + + + + + + + + + + + +
    + +
    + + + + + + + + +
    +
    +

    Generic Types

    +

    Sometimes we want to be able to work with any type. We call such types generic types. For example, the builtin list type in Acton can store any other type, so we say it is a list of A, where A is a generic type (from the specification in Acton builtins):

    +
    class list[A] (object):
+    ...
+
+    def pop(self, n :?int=-1) -> A:
+        """Pop and return an item from the list"
+
    +

    [A] says A is a generic type. And for example, the pop() function on list returns an element of type A.

    +
    class list[A] (object):
+          ^^^ --- generic types are written here, between []
+                  A is a generic type used in `class list`
+
+    def pop(self, n :?int) -> A:
+                              ^--- list.pop returns an item of type A
+
    + +
    + + +
    +
    + + + +
    + + + + + + + + + + + + + + + + + + + +
    + + diff --git a/learn/acton-by-example/types/intro.html b/learn/acton-by-example/types/intro.html new file mode 100644 index 0000000..e416f83 --- /dev/null +++ b/learn/acton-by-example/types/intro.html @@ -0,0 +1,240 @@ + + + + + + Types + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    + + + + + + + + + + + + + +
    + +
    + + + + + + + + +
    +
    +

    Types

    +

    Every value in Acton is of a certain data type, which tells Acton what kind of data is being specified so it knows how to work with the data. Acton is a statically typed language, which means the type of all values must be known when we compile the program. Unlike many traditional languges like Java or C++, where types must be explicitly stated everywhere, we can write most Acton programs without types. The Acton compiler features a powerful type inferencer which will infer the types used in the program.

    +

    This program does not have any explicit types specified.

    +

    Source:

    +
    def foo(a, b):
+    if a > 4:
+        print(len(b))
+
+actor main(env):
+    i1 = 1234      # inferred type: int
+    s1 = "hello"   # inferred type: str
+    foo(i1, s1)
+
+    env.exit(0)
+
    +

    To see the inferred types of an Acton program, use the --sigs option of the compiler. As the name suggests, this will print out the type signatures for functions, actors and their attributes and methods in the specified Acton module.

    +

    Print type signatures with --sigs:

    +
    actonc types.act --sigs
+
    +

    Output:

    +
    #################################### sigs:
+
+foo : [A(Ord, Number)] => (A, Collection[B]) -> None
+
+actor main (Env):
+    i1 : int
+    s1 : str
+
    +

    Acton implements the Hindley-Milner (HM) type system, which is common in languages with static types, like Haskell and Rust. Acton extends further from HM to support additional features.

    + + +
    + + +
    +
    + + + +
    + + + + + + + + + + + + + + + + + + + +
    + + diff --git a/learn/acton-by-example/working_with_zig.html b/learn/acton-by-example/working_with_zig.html new file mode 100644 index 0000000..534c2be --- /dev/null +++ b/learn/acton-by-example/working_with_zig.html @@ -0,0 +1,239 @@ + + + + + + Working with Zig / C / C++ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    + + + + + + + + + + + + + +
    + +
    + + + + + + + + +
    +
    +

    Working with Zig / C / C++

    +

    Acton has C ABI compatibility which makes it trivial to call C functions and fairly simply to call Zig and C++ using C wrapping functions. If you want to integrate a library written in one of these languages, this page is for you.

    +

    Regardless of the foreign language used, we need to consider a few things:

    +
      +
    • memory allocation, it must play well with the Acton GC +
        +
      • You can allocate memory via classic malloc or via Acton GC malloc +
          +
        • acton_malloc - normal malloc
          • +
        • acton_malloc_atomic for allocations that are guaranteed to not contain pointers
          • +
        +
        • +
      • Better safe than sorry, use the GC-malloc when in doubt
        • +
      • Always use Acton GC malloc for actor and class attributes and similar +
          +
        • object and actor instances are garbage collected by the GC and there is no destructor function, so if you would have used class malloc there is no good place for the free
          • +
        +
        • +
      • Within pure functions, you can use class malloc - be sure to free the allocations before return of the function, even for error paths
        • +
      +
      • +
    • thread safety, the Acton RTS is threaded and actors are concurrently executed by different threads +
        +
      • in general, we strive to only keep data per actor and since an actor executes sequentially, we do not need thread safety measures like locks - just make sure you don't try to share data between actors "under the hood"
        • +
      • libraries must not use global variables though
        • +
      +
      • +
    • asynchronous I/O, the Acton RTS performs asynchronous I/O and any other library that performs I/O need to conform to this model
      • +
    + +
    + + +
    +
    + + + +
    + + + + + + + + + + + + + + + + + + + +
    + + diff --git a/learn/acton-by-example/zig_dependencies.html b/learn/acton-by-example/zig_dependencies.html new file mode 100644 index 0000000..581c0da --- /dev/null +++ b/learn/acton-by-example/zig_dependencies.html @@ -0,0 +1,245 @@ + + + + + + Zig / C / C++ dependencies + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    + + + + + + + + + + + + + +
    + +
    + + + + + + + + +
    +
    +

    C / C++ / Zig dependencies

    +

    Much like dependencies on other Acton packages, an Acton project can depend on a Zig package which could be a C / C++ or Zig library, as long as it has a build.zig file.

    +
      +
    • acton zig-pkg add URL NAME --artifact X --artifact Y +
        +
      • list the libraries you want to link with as artifacts
        • +
      +
      • +
    • acton zig-pkg remove NAME
      • +
    +
    +
    +
    +

    Example

    +
    + +
    +
    +
    acton zig-pkg add https://github.com/allyourcodebase/zlib/archive/refs/tags/1.3.1.tar.gz zlib --artifacts z
+
    +
    {
+    "dependencies": {},
+    "zig_dependencies": {
+        "zlib": {
+            "url": "https://github.com/allyourcodebase/zlib/archive/refs/tags/1.3.1.tar.gz",
+            "hash": "122034ab2a12adf8016ffa76e48b4be3245ffd305193edba4d83058adbcfa749c107",
+            "artifacts": [
+                "z"
+            ]
+        }
+    }
+}
+
    +
    +
    + +
    + + +
    +
    + + + +
    + + + + + + + + + + + + + + + + + + + +
    + + diff --git a/learn/index.html b/learn/index.html new file mode 100644 index 0000000..b54603e --- /dev/null +++ b/learn/index.html @@ -0,0 +1,163 @@ + + + + + + + + + + + + + + + + + + + + + + +
    + + + + + + + + +
    + + +
    + + + + + +
    + +
    + + + +
    + + + +
    + + + + + + + + diff --git a/logo.svg b/logo.svg new file mode 100644 index 0000000..b67a89a --- /dev/null +++ b/logo.svg @@ -0,0 +1,64 @@ + + + + diff --git a/normalize.css b/normalize.css new file mode 100644 index 0000000..192eb9c --- /dev/null +++ b/normalize.css @@ -0,0 +1,349 @@ +/*! normalize.css v8.0.1 | MIT License | github.com/necolas/normalize.css */ + +/* Document + ========================================================================== */ + +/** + * 1. Correct the line height in all browsers. + * 2. Prevent adjustments of font size after orientation changes in iOS. + */ + +html { + line-height: 1.15; /* 1 */ + -webkit-text-size-adjust: 100%; /* 2 */ +} + +/* Sections + ========================================================================== */ + +/** + * Remove the margin in all browsers. + */ + +body { + margin: 0; +} + +/** + * Render the `main` element consistently in IE. + */ + +main { + display: block; +} + +/** + * Correct the font size and margin on `h1` elements within `section` and + * `article` contexts in Chrome, Firefox, and Safari. + */ + +h1 { + font-size: 2em; + margin: 0.67em 0; +} + +/* Grouping content + ========================================================================== */ + +/** + * 1. Add the correct box sizing in Firefox. + * 2. Show the overflow in Edge and IE. + */ + +hr { + box-sizing: content-box; /* 1 */ + height: 0; /* 1 */ + overflow: visible; /* 2 */ +} + +/** + * 1. Correct the inheritance and scaling of font size in all browsers. + * 2. Correct the odd `em` font sizing in all browsers. + */ + +pre { + font-family: monospace, monospace; /* 1 */ + font-size: 1em; /* 2 */ +} + +/* Text-level semantics + ========================================================================== */ + +/** + * Remove the gray background on active links in IE 10. + */ + +a { + background-color: transparent; +} + +/** + * 1. Remove the bottom border in Chrome 57- + * 2. Add the correct text decoration in Chrome, Edge, IE, Opera, and Safari. + */ + +abbr[title] { + border-bottom: none; /* 1 */ + text-decoration: underline; /* 2 */ + text-decoration: underline dotted; /* 2 */ +} + +/** + * Add the correct font weight in Chrome, Edge, and Safari. + */ + +b, +strong { + font-weight: bolder; +} + +/** + * 1. Correct the inheritance and scaling of font size in all browsers. + * 2. Correct the odd `em` font sizing in all browsers. + */ + +code, +kbd, +samp { + font-family: monospace, monospace; /* 1 */ + font-size: 1em; /* 2 */ +} + +/** + * Add the correct font size in all browsers. + */ + +small { + font-size: 80%; +} + +/** + * Prevent `sub` and `sup` elements from affecting the line height in + * all browsers. + */ + +sub, +sup { + font-size: 75%; + line-height: 0; + position: relative; + vertical-align: baseline; +} + +sub { + bottom: -0.25em; +} + +sup { + top: -0.5em; +} + +/* Embedded content + ========================================================================== */ + +/** + * Remove the border on images inside links in IE 10. + */ + +img { + border-style: none; +} + +/* Forms + ========================================================================== */ + +/** + * 1. Change the font styles in all browsers. + * 2. Remove the margin in Firefox and Safari. + */ + +button, +input, +optgroup, +select, +textarea { + font-family: inherit; /* 1 */ + font-size: 100%; /* 1 */ + line-height: 1.15; /* 1 */ + margin: 0; /* 2 */ +} + +/** + * Show the overflow in IE. + * 1. Show the overflow in Edge. + */ + +button, +input { /* 1 */ + overflow: visible; +} + +/** + * Remove the inheritance of text transform in Edge, Firefox, and IE. + * 1. 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is a general purpose programming language, designed to be useful for a wide range of applications, from desktop applications to embedded and distributed systems. In a first approximation Acton can be described as a seamless addition of a powerful new construct to an existing language: Acton adds actors to Python. Our take on the actor model allows developers to write highly scalable and fault tolerant code, without needing to worry about explicit state checkpointing, synchronization primitives or giving up consistency.\nActon is a compiled language, offering the speed of C but with a considerably simpler programming model. There is no explicit memory management, instead relying on garbage collection.\nActon is statically typed with an expressive type language and type inference. Type inferrence means you don't have to explicitly declare types of every variable but that the compiler will infer the type and performs its checks accordingly. 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Acton was created to deliver on that belief.\nWe want a programming environment that offers persistence so that programmers do not need to spend time writing code to save program state to disk or a database (which in turn writes to disk, typically). There are few such languages in existence and even fewer, if any, in practical use. This is especially important as handling state persistence is particularly hard when writing distributed systems or working in cloud environments. The programmer should not need to spend much time dealing with state persistence.\nWe want to write small programs that can run together to form a large system. It needs to scale beyond the bounds of a single computer and we don't want the programmer to spend any extra effort to achieve this.\nWe want the system as a whole to be robust. It must tolerate failures to the hardware compute nodes used to run the system without loss of data or function. 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Checkpointing the state of a program is hard because it is hard to figure out what parts of the memory you need to checkpoint. It's all like a big hairy spaghetti ball and the safe choice is to checkpoint the entire memory of the program. This could work for small programs but we want to write large distributed programs! The key to efficiently checkpointing a program is to be able to work on smaller parts of the program and in order to do that, we need to get a grip on those smaller parts. That is hard with shared memory. There are papers on this topic with various techniques applied in attempts to realize barriers and snapshot chunks of memory but it is hard to make it work well in practice. In contrast, with actors, each actor has its own private memory which makes it possible to checkpoint the state of individual actors. Further, actors communicate with each other through messages. With our own database that implements queues inside the database, we can both read and modify database cells as well as reading, consuming or putting new items on the queues in the same transaction! This makes it possible to deal with actor checkpoints in a transactionally safe way. Many great things emanate from the actor model!\nActors do not fundamentally resolve the problem of snapshotting since it is still possible to construct a single giant actor that consumes 100GB of RAM and snapshotting that won't be fast. However, the actor model does encourage the use of many smaller actors for concurrency as well as logically splitting up your program in manageable units. In practice, it typically reduces the size and time taken to checkpoint by orders of magnitudes compared to a large traditional program. It brings persistence-through-checkpointing from theoretically feasible to practically viable.\nCheckpointing needs to happen when there are externally visible effects. The actor models makes this trivial to determine since anything that is externally visible is going to be a message to another actor. To avoid explicit state checkpointing calls, synchronization primitives or explicit IPC calls that would be forced upon the application developer, we employ magic advanced techniques in the compiler, made possible by its inherent knowledge of the language. By analyzing the code of the program we can determine suitable locations for inserting checkpointing, and this is in fact what the Acton compiler does. It splits up a program into continuations that are executed by the Acton run time system. After a continuation has been executed, its result, including the actor state, any outgoing messages to other actors as well as the consumption of the incoming message that triggered this continuation to run, is committed atomically in one transaction to the database. All this is possible thanks to the language, compiler, run time system and database working together as one. It is only possible with a new language and that is why we wrote Acton.\n\nWith Acton, an application developer simply writes single threaded Acton code and relegates the complex tasks of ensuring state consistency, persistence, fault tolerance and load balancing to the compiler, database and run time system.\nWe hope you enjoy Acton!\nNow and the road ahead\nActon is still relatively young and still has some way to go to fully deliver on the vision. Read more about the current state and outlook.\nWhat's been achieved so far?\nWe have worked on Acton for years. The first iteration of Acton was essentially a proof of concept where we used Python as the run time for the language with a heavily modified Cassandra database that featured transaction and communication queues for safely storing state. It was tied together by an early version of the Acton compiler, written in Haskell, that took Acton source code as input and produced a Python program which a standard Python interpreter could execute. It would wrap Acton actors in state preserving code that would commit the programs state to the database. This prototype was used to prove the foundational concepts.\nSince then we have implemented a new high performance run time system and a new distributed database for backend. Acton code is now compiled to C and then to machine code. The runtime system also features a new lock-free distributed database, written from scratch in C for Acton, making use of efficient optimistic concurrency transaction validation, gossip, bulk updates, integrated communication queues, and several other optimizations that make it fast. The database offers a low level C API for simple but very fast and low latency queries; suitable for building a language run time system on top of! The new run time system in turn is designed to work well together with the database.\nThe run time system works well standalone too, you don't have to use it together with the distributed database backend. You can use it to write \"normal\" programs and with native code, it is easy to make small independent programs that are easy to install since there is no need to first install an interpreter.\n","id":"https://www.acton-lang.org/about/","title":"About"},"https://www.acton-lang.org/blog/":{"body":"","id":"https://www.acton-lang.org/blog/","title":"Posts"},"https://www.acton-lang.org/blog/2024-05-unboxing/":{"body":"Unboxing Integers\nActon's new integer unboxing feature can speed up number-heavy applications by 100x or more. In this post, we'll break down what integer unboxing is, how it works, and why it matters for your performance-critical code.\nBoxed (yellow) vs Unboxed (green) vs Python (Yellow)\n\nBoxed values\nIn many programming languages, values like integers or strings are stored in a boxed fashion. The box is a structure in memory that holds the type of the value, like \"signed 64 bit integer\", as well as the actual value, like 42. This is different than the most basic representation in computer memory, which is really just the value itself, like a series of 64 bits, without the meta-data of what type the value is of. We can think of this basic representation as \"unboxed\", there is no box to tell us what type of value is stored, it's just some stored bits. The downside of such unboxed values is that you have to keep track of the type of a value by some other means. When writing C programs, this is natural and just the way things works, like we know that variable a is of type int in the program code, so no need to also repeat that in memory but it does require the programmer to bear this burden. With higher level languages and in particular those that support generic types, it becomes necessary to keep track of value types and using boxed types is the simplest means to achieving this. Acton uses boxed values in general.\nThere's nothing wrong with boxed values, it's just that it comes with some performance overhead, so for compute intensive code, this can add up to make quite a difference. We might end up spending more time looking at the box and following pointers than doing the actual computation.\nFor a contemporary 64 bit CPU, a machine word, the normal sized chunk that the CPU deals with, is 64 bits and so any type that is 64 bits or smaller can be passed around directly. C ABI calling convention typically passes a 64 bit integer argument value to a function using a CPU register, which is incredibly fast. In contrast, a boxed value is instead sent as a pointer to the box and then the receiving function has to fetch the box and then the value from memory, which can be considerably slower.\nUnboxing boxed integers\nUnboxing is the process of removing the box around a value, allowing the value to be passed and operated on directly without any extra layers of indirection. In Acton, integers were traditionally stored as boxed values—meaning that instead of simply passing the raw number around, we were also managing metadata (such as the type of value) along with the value itself. This made certain operations, especially mathematical ones, slower than necessary.\nBy unboxing these integers, we can bypass this overhead. When an integer is unboxed, it’s stored and passed around as a raw, untagged machine word. This is similar to how a language like C would handle primitive types such as int. The result? Faster memory access and improved computational performance, especially for tight loops and arithmetic-heavy code.\nThe Acton compiler now has support for automatically detecting when an integer can be unboxed, and it will generate optimized C code accordingly. This allows you to write clean, expressive code while still benefiting from low-level performance optimizations under the hood.\nIn this first iteration, unboxing is supported for local variables and variables passed as arguments between functions. Object attributes are always boxed.\nOptimal code with unboxed integers - Discrete Cosine Transform\nThe discrete cosine transform is a very popular and widely used algorithm used for image compression. And here it is, in an Acton version:\n\nThe values operated on here are i64 and with the new support in the Acton compiler for unboxed values, the generated C code is the following:\n\nWhich is pretty much as simple and optimal as one would write by hand, bar the naming convention. In other words, using Acton, which can certainly be considered a higher level language than C, comes with essentially no overhead for this program. Boxed values are doubly bad because they also exert a massive pressure on the memory subsystem, both when allocating on the heap and when the GC subsystem is collecting garbage. This makes a tremendous difference in performance, especially for larger values where memory consumption grows. With unboxing, we avoid the extra memory allocation and instead store values on the stack and pass them to functions via CPU registers.\nDoubly good for the GC and memory subsystem\nBy not allocating memory for boxed values, we avoid the need for the garbage collector to clean up after them. This is a double win for performance, as the garbage collector can be a significant bottleneck in many applications. Acton currently uses the Boehm GC (but not for long!), which is a mark-sweep collector with a stop-the-world. All Acton Run Time System worker threads are stopped while running the GC which means that otherwise parallelizable code might not end up being very fast because we become concurrency constrained around GC. Using unboxed values avoids malloc & GC altogether and so our application can easily run concurrently.\nPerformance comparison\nIn this graph we can see the performance difference between the boxed and unboxed versions of the DCT program. Depending on the input size, the unboxed version can be 100x or even faster. Python is also included in this comparison where it scores better than the boxed version but still significantly slower than the unboxed version.\nBoxed (red) vs Unboxed (green) vs Python (Yellow)\n\nIf we remove Acton's boxed version, we can zoom in on the unboxed and Python versions. Acton's unboxed version is, by quite a fair margin, consistently faster than Python, for all input sizes. The difference becomes more pronounced as the input size grows and at 10000, Acton is ~15x faster than Python.\nUnboxed (green) vs Python (yellow)\n\nMany computationally intensive applications are written in C and receive a thin wrapper in Python or some other high level language. Acton now offers an appealing alternative; writing normal Acton code is as fast as C code but remains Pythonic and simple to read and develop, while it is still possible for more specialized cases to write C code and integrate in an Acton module.\nFuture work\nThe current implementation of unboxing in Acton supports local variables and function arguments. In the future, we plan to extend this support to object and actor attributes as well. This will further improve the performance of Acton programs, especially those that rely heavily on object-oriented programming.\nFurther, monomorphization is a technique that can be used to specialize generic functions for specific types. This can be used to optimize the performance of functions that are called with a small number of different types. We plan to explore monomorphization in Acton to further improve the performance of generic functions.\nUntil then, enjoy the speed boost that unboxed integers bring to your Acton programs!\n","id":"https://www.acton-lang.org/blog/2024-05-unboxing/","title":"Unboxing Integers"},"https://www.acton-lang.org/install/":{"body":"Install\nActon is available for Linux and Mac OS X.\nThe platforms listed here are for developing with Acton. The final binary executable produced from compiling an .act can run on other platforms, for example Ubuntu 18.04 and can be made to run on even older systems through static linking, see Acton by Example: compilation\nDebian / Ubuntu\nSupported versions\n\nDebian 11 / x86_64\nDebian 12 / x86_64\nUbuntu 20.04 / x86_64\nUbuntu 22.04 / x86_64\nUbuntu 23.04 / x86_64\n\nInstall via apt repository:\nThe APT configuration is for bullseye but the Acton package is forward compatible and works just fine on bookworm as well as similarly modern Ubuntu releases.\n\nMac OS X\nSupported versions\n\nMacOS 10.5 / x86_64\nMacOS 11 / x86_64\nMacOS 12 / x86_64\nMacOS 12 / aarch64 (M1)\n\nno pre-built binary package (\"bottle\" in Homebrew lingo) available so it will build from source\n\n\nMacOS 13 / x86_64\nMacOS 13 / aarch64 (M1)\n\nno pre-built binary package (\"bottle\" in Homebrew lingo) available so it will build from source\n\n\n\nInstall via Homebrew\n\nBinary release tar ball\nThere are pre-built binary release tar balls available for download for Linux\nand Mac OS X in case the above package formats are not suitable. See the guide,\ninstalling Acton from a release tar ball.\nBuilding from source\nSee building from source.\n","id":"https://www.acton-lang.org/install/","title":"Install"},"https://www.acton-lang.org/learn/":{"body":"\nActon Guide\nActon tutorial\n\n","id":"https://www.acton-lang.org/learn/","title":"Learn"}},"docInfo":{"https://www.acton-lang.org/":{"body":230,"title":3},"https://www.acton-lang.org/about/":{"body":678,"title":0},"https://www.acton-lang.org/blog/":{"body":0,"title":1},"https://www.acton-lang.org/blog/2024-05-unboxing/":{"body":695,"title":2},"https://www.acton-lang.org/install/":{"body":154,"title":1},"https://www.acton-lang.org/learn/":{"body":4,"title":1}},"length":6},"lang":"English"} \ No newline at end of file diff --git a/sitemap.xml b/sitemap.xml new file mode 100644 index 0000000..4d8428b --- /dev/null +++ b/sitemap.xml @@ -0,0 +1,31 @@ + + + + https://www.acton-lang.org/ + + + https://www.acton-lang.org/about/ + + + https://www.acton-lang.org/about/future/ + + + https://www.acton-lang.org/blog/ + + + https://www.acton-lang.org/blog/2024-05-unboxing/ + 2024-05-05 + + + https://www.acton-lang.org/install/ + + + https://www.acton-lang.org/install/from-source/ + + + https://www.acton-lang.org/install/from-tar-ball/ + + + https://www.acton-lang.org/learn/ + +
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    +
    +

    Functions

    +

    Functions are declared using the def keyword.

    +

    Use return foo to return variable foo. If no return keyword is used or a lone return without argument is given, the function will return None.

    +

    Source:

    +
    def multiply(a, b):
+    print("Multiplying", a, "with", b)
+    return a*b
+    
+actor main(env):
+    result = multiply(3, 4)
+    print("Result:", result)
+    env.exit(0)
+
    +

    Output:

    +
    Multiplying 3 with 4
+Result: 12
+
    + +
    + + +
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