|K. Lange 9f6160092e Fix up math.nan is math.nan (should be False); explain nan boxing bit masks||1 month ago|
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|README.md||7 months ago|
|SECURITY.md||1 month ago|
|test.krk||1 month ago|
Kuroko is a dynamic, bytecode-compiled programming language and a dialect of Python. The syntax features indentation-driven blocks, familiar keywords, and explicit variable declaration with block scoping. The runtime interpreter includes a tracing garbage collector, multithreading support without a global lock, and support for single-step debugging and bytecode disassembly. The full interpreter and compiler can be built on Unix-like platforms to a shared library of around 500K and is easy to embed and extend with a clean C API and limited libc footprint. Kuroko has been successfully built for a wide range of targets, including Linux, ToaruOS, WebAssembly, macOS (including M1 ARM devices), and Windows (with mingw64).
On most platforms,
make is sufficient to build in the standard configuration which will produce both REPL binary (
kuroko) with the compiler and interpreter included, as well as both a static (
libkuroko.a) and shared library version (
libkuroko.so) that can be used for embedding.
Additional build configurations are available with the following options:
KRK_DISABLE_RLINE=1: Do not build with support for the rich syntax-highlighted line editor.
KRK_DISABLE_DEBUG=1: Do not build support for disassembly. Not recommended, as it does not offer any visible improvement in performance.
KRK_DISABLE_DOCS=1: Do not include documentation strings for builtins. Can reduce the library size by around 100KB depending on other configuration options.
To build for Windows, it is recommended that a Unix-like host environment be used with the MingW64 toolchain:
WASM builds can be built from kuroko-lang/kuroko-wasm-repl.
Kuroko can be built with the Asyncify option and as a worker.
Normally, the main interpreter binary statically links with the VM library, but is otherwise built as a dynamic executable and links to shared libraries for libc, pthreads, and so on. To build a fully static binary, adding
CFLAGS and building only the
kuroko target should suffice.
Whether a static build supports importing C extension modules depends on the specifics of your target platform.
Kuroko is easy to embed in a host application or extend with C modules. Please see the documentation on our website for further information.
If you already know Python, adapting to Kuroko is a breeze.
If you want to get started, try the interactive tutorial.
Kuroko supports a wide range of functionality and syntax expected from a Python implementation, and this list is by no means exhaustive:
setcomprehensions with chained
Kuroko aims for wide compatibility with Python 3.x and supports most syntax features and a growing collection of standard library functions. The most notable difference between Kuroko and standard Python is explicit variable declaration and the use of the
let keyword. Many Python snippets can be ported to Kuroko with only the addition of declaration statements. Some syntax features remain unimplemented, however:
Kuroko does not support the
async with constructs, and does not have a
asyncio module. They are planned for a future release.
Kuroko iterables do not use the
__next__() method, but rather are called normally. This allows iteration objects to be implemented as simple functions. If you are porting code which has a different use of
__next__() it will likely be necessary to change the implementation. Kuroko also doesn't have a
StopIteration exception; iterators return themselves to signal they are exhausted (if you need an iterator to return itself, consider boxing it in a tuple).
Kuroko provides only single inheritance. When porting from Python, mix-in classes and other uses of multiple inheritance may need to be redesigned.
The scoping system in Kuroko makes the
nonlocal keywords unnecessary and they are not supported.
Kuroko has generalized assignment expressions, so skip the walrus and assign whatever you like (some additional parenthesis wrapping may be necessary to disambiguate assignments).