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Build Your Own Programming Language

You're reading from   Build Your Own Programming Language A programmer's guide to designing compilers, interpreters, and DSLs for modern computing problems

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Product type Paperback
Published in Jan 2024
Publisher Packt
ISBN-13 9781804618028
Length 556 pages
Edition 2nd Edition
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Author (1):
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Clinton  L. Jeffery Clinton L. Jeffery
Author Profile Icon Clinton L. Jeffery
Clinton L. Jeffery
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Table of Contents (27) Chapters Close

Preface 1. Section I: Programming Language Frontends
2. Why Build Another Programming Language? FREE CHAPTER 3. Programming Language Design 4. Scanning Source Code 5. Parsing 6. Syntax Trees 7. Section II: Syntax Tree Traversals
8. Symbol Tables 9. Checking Base Types 10. Checking Types on Arrays, Method Calls, and Structure Accesses 11. Intermediate Code Generation 12. Syntax Coloring in an IDE 13. Section III: Code Generation and Runtime Systems
14. Preprocessors and Transpilers 15. Bytecode Interpreters 16. Generating Bytecode 17. Native Code Generation 18. Implementing Operators and Built-In Functions 19. Domain Control Structures 20. Garbage Collection 21. Final Thoughts 22. Section IV: Appendix
23. Answers
24. Other Books You May Enjoy
25. Index
Appendix: Unicon Essentials

Code generation in the Unicon preprocessor

After the preprocessor, the rest of the Unicon translator takes Unicon input and outputs an extended dialect of Icon that has no name but is occasionally referred to as Icon’ (Icon prime). Unicon is written in around 7,000 lines of Unicon code and another 1,100 lines of iyacc specification. It is tiny compared to a conventional compiler, but ten times the size of the preprocessor’s preprocessor described in the previous section.

Transforming objects into classes

The output of Unicon frequently resembles the input closely enough to qualify as a preprocessor. Regular Icon code such as user-defined procedures with their statements and expressions pass through Unicon almost unmodified. However, the Unicon translator implements several language extensions by changing the source code. For example, packages are implemented via name mangling. You can see what Unicon does with a given input file foo.icn, if anything, by running...

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