Writing a transcompiler

As a result, many of us have experienced callback hell and the horror one goes through when faced with functions looking like this. Thankfully, then or should we say. They offered a much more organized alternative to callbacks and most of the community quickly moved on to using them instead.

Writing a transcompiler

Make it efficient This classic sequence applies to all software development, but bears repetition. Concentrate on the first step of the sequence.

Create the simplest thing that could possibly work. Read the Dragon Book by Aho and Ullman. This is classic and is still quite applicable today. Modern Compiler Design is also praised. If this stuff is too hard for you right now, read some intros on parsing first; usually parsing libraries include intros and examples.

These things is the stuff programs are made of on the logical level. Define your language well Use whatever notation you want, but make sure you have a complete and consistent description of your language.

This includes both syntax and semantics.

writing a transcompiler

Use simple algorithms you understand well. The first version does not have to be fast, or efficient, or feature-complete.

It only needs to be correct enough and easy to modify. Prepare to write a lot of tests Your entire language should be covered by test cases; effectively it will be defined by them. Get well-acquainted with your preferred testing framework. Write tests from day one. Run all the tests regularly.

Fix broken tests before proceeding. It would be a shame to end up with an ill-defined language that cannot accept valid code.

Create a good parser Parser generators are many. Pick whatever you want. You may also write your own parser from scratch, but it only worth it if syntax of your language is dead simple.

The parser should detect and report syntax errors. Write a lot of test cases, both positive and negative; reuse the code you wrote while defining the language.

Output of your parser is an abstract syntax tree. There are plenty of simple ways to dump a tree to a file and to quickly load it back.

Create a semantic validator Most probably your language allows for syntactically correct constructions that may make no sense in certain contexts.

An example is a duplicate declaration of the same variable or passing a parameter of a wrong type. The validator will detect such errors looking at the tree. The validator will also resolve references to other modules written in your language, load these other modules and use in the validation process.

For instance, this step will make sure that the number of parameters passed to a function from another module is correct. Again, write and run a lot of test cases.

Trivial cases are as indispensable at troubleshooting as smart and complex. Generate code Use the simplest techniques you know. Again, ignore efficiency and concentrate on correctness. These details are gory and complex. Ignore optimization Optimization is hard.

Almost always optimization is premature. Generate inefficient but correct code.I intend to write a transpiler (a.k.a. transcompiler or source-to-source compiler). The bootstrapping will involve evolving away from my initial choice of target language in small incremental steps.

The compiler for next generation JavaScript. Welcome! We're currently just a small group of volunteers that spend their free time maintaining this project.

If Babel has benefited you in your work, becoming a contributor might be a great way to give back. Programming Language Technology for Niche Platforms Tero Hasu BLDL and University of Bergen Bergen, 3 March Tero Hasu (BLDL) Programming Language Technology for Niche Platforms. CindyGL: Authoring GPU-based interactive mathematical content Aaron Montag and Jurgen Richter-Gebert?

While writing CindyScript code, the user should not even become aware of using The technical core of this plugin is a transcompiler, which can translate CindyScript to OpenGL Shading Language (GLSL).

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Aside general-purpose com-. That said, writing such a translator is not an easy task; you have to enumerate the complete set of syntax constructs with implied semantics, and figure out how to map that to a combination of target language syntax plus extra libraries you might custom build on .

Grumpy is a Python to Go source code transcompiler and runtime that is intended to be a near drop-in replacement for CPython The key difference is that it compiles Python source code to Go source code which is then compiled to native code, rather than to bytecode.

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