Warning
The language is still under development. Some features are missing.
A type-safe C successor that compiles directly to various platforms.
Check out acwj-git, DoctorWkt's tutorial is the main (best) source of inspiration of this project's structure.
- Modern
- Compiled
- Procedural
- Strongly typed
- Type and memory safe
- Closely match C features
- Bidirectionally compatible with C
- ML must be easy to learn and use
- ML abstractions introduce zero-overhead compared to C
The language is designed to closely match c features along with some zero-overhead quality of life improvements that you would find in a modern language, while maintaining the ease of learning the language (in about 10 minutes or less via QUICKSTART). Moreover, the type system is stricter than c, which prevents common bugs (flaws) of the c language. Memory safety is also a primary concern. As for c compatibility, the language is bidirectionally compatible with c (c can be used in ML, ML can be used in c).
- RAII
- Builtins
- Booleans
- References
- Fixed-length integers
- Fixed-length pointers
- Type inference
- Heredocs
- Aliases
- Defers
- Imports
- Namespaces
- Hygienic macros
- For-each loops
- Generic functions
- Function overloading
- Function signatures
- Uniform function call syntax (UFCS)
- Multi-line statements
The online compiler is provided by ryugod.com. Special thanks to ryusatgat for hosting and maintaining the online compiler!
Warning
The unstable branch is updated more often than the main (stable) branch and offers access to experimental features, but is more prone to breakage/bugs.
To suggest features/fixes, modify IDEAS.md/BUG.md and submit a pull request or contact me via the email address in my github profile.
Install the VSIX extension ./minilang-highlighter/minilang-highlighter-0.0.1.vsix.
Extensions -> Views and more actions... (top-left three dots) -> Install from VSIX...
To run a sample or test, specify its directory using the -C option in mlpx with arguments build and run.
python mlpx -C tests/test build and runImportant
It's recommended to use the mlpx build tool as it's specifically designed for this purpose: no libary redundancy and no configuration compared to using the make build tool.
Creating a MiniLang project is easy and straight-forward using the mlpx utility, which provides two ways with differing build tools.
# Using the mlpx build tool
python mlpx init my_new_project
# Using the make build tool
python mlpx makefile-init my_new_project----------------------------------------------------------------------------------------
File blank comment code
----------------------------------------------------------------------------------------
src\Parser.py 482 92 1846
src\Def.py 320 74 1108
src\Gen.py 217 134 697
src\Lexer.py 43 1 351
src\backend\c\CWalker.py 25 17 203
src\backend\ml\MLWalker.py 18 6 179
src\backend\c\CDef.py 50 1 155
src\GenStr.py 16 1 129
src\Snippet.py 38 0 106
src\Main.py 14 2 79
src\backend\ml\MLDef.py 14 2 56
src\backend\Walker.py 16 3 53
----------------------------------------------------------------------------------------
SUM: 1253 333 4962
----------------------------------------------------------------------------------------Note
Statistics were generated with cloc.
Warning
The asm compiler backend is currently far outdated. The latest features exclusively require the c and ml compiler backends.
Usage: Main.py [options]
The mini language compiler, Version: 1.0.0, Source:
https://github.com/NICUP14/MiniLang.git
Options:
-h, --help show this help message and exit
-o OUTPUT, --output=OUTPUT
Write contents to OUTPUT; When set, no-color is
enabled by default.
-d, --debug Dry run; Print the human-friendly AST representation.
Overrides any specified backend option.
-c, --no-color Do not use ANSI color sequences in the output.
-C, --no-comment Do not include human-readable comments in the
generated assembly.
-I INCLUDE, --include=INCLUDE
Add the directory to the include path.
-b BACKEND, --backend=BACKEND
Specify which compiler backend to use. Choose between
c, asm and ml.Note
All MiniLang samples (example projects) are located within the samples directory. All samples are written entirely in ML.
# From samples/helloworld/src/main.ml:
import stdlib.io.print
fun main: int32
print "Hello World!"
ret 0
end# From samples/str-ufcs/src/main.ml:
import stdlib.io.print
import stdlib.string
fun main: int32
# Is equivalent to:
# print(concat(str("Hello "), str("World!")))
(str("Hello ").
concat(str("World!")).
print)
end# From samples/fizzbuzz/src/main.ml:
import stdlib.io.print
fun fizz_buzz(num: int64): void
let idx = 1
while idx <= num
if idx % 15 == 0
println(idx, ": FizzBuzz")
elif idx % 3 == 0
println(idx, ": Fizzz")
elif idx % 5 == 0
println(idx, ": Buzz")
end
idx = idx + 1
end
end
fun main(): int64
fizz_buzz(15)
ret 0
endCopyright © 2023-2024 Nicolae Petri
Licensed under the MIT License.