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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 solving modern computing problems

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Product type Paperback
Published in Dec 2021
Publisher Packt
ISBN-13 9781800204805
Length 494 pages
Edition 1st 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 (25) Chapters Close

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

Avoiding reparsing the entire file on every change

The lexical and syntax analysis necessary to parse input and detect and report syntax errors presented in this book from Chapter 2, Programming Language Design, to Chapter 8, Checking Types on Arrays, Method Calls, and Structure Accesses, are substantial algorithms. Although the Flex and Yacc tools we've used are high-performance, if given a large input file, scanning and parsing become slow enough that users will not want to reparse the whole file each time a user modifies the file in an IDE text editor. In testing, we found that reparsing the entire file became a problem on files larger than 1,000 lines.

Sophisticated incremental parsing algorithms that minimize the amount that must be reparsed after changes are the subject of Ph.D. dissertations and research articles. For the Unicon IDE, a simple approach is taken. Whenever the cursor moves away from a line that has been changed, a parsing unit is selected, starting with...

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