Language processor implementation using python
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This document describes the implementation of a language processor for the Pascal programming language using Python. It discusses choosing Python as the implementation language, the overall work scheme including a parser, syntax analyzer, semantic analyzer, and code generator. Details are provided on using YAML configuration files to define the language grammar, generating abstract syntax trees, and producing intermediate code. The goal is to create a parameterized language processor that can easily be adapted for other languages by changing the YAML configuration.
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![Parser.
Tokens
Identifier
^[A-Za-z][A-Za-z_0-9]{0,255}$
Integer Const
^[+-]?d{1,10}$
Float Const
^([+-]?((d+.d+)|(d+.d+e[+-]d+)))$
String Literal
^'.{0,65535}'$](https://image.slidesharecdn.com/languageprocessorusingpython-131112035813-phpapp01/85/Language-processor-implementation-using-python-6-320.jpg)
![Algorythm of Analyzing
Lexems
def getClass(self, word):
c = None
if ((word in self.KeyWords)
or (word in metadata["delimiters"])
or (word in metadata["double"])
or (word in metadata["conditional_delimiters"])
or (word in metadata["multiplicative"])
or (word in metadata["additive"])
or (word in metadata["Relation"])):
c = word
else:
for r in self.RegExp.keys():
if re.compile(r).match(word):
c = self.RegExp[r]
return c](https://image.slidesharecdn.com/languageprocessorusingpython-131112035813-phpapp01/85/Language-processor-implementation-using-python-7-320.jpg)
![Configuration Format of Language
Grammar
EBNF
rule
program ::=
EBNF
Program ID ; block .
rule in configuration
programme:
- [program, id, ;, Block, "."]](https://image.slidesharecdn.com/languageprocessorusingpython-131112035813-phpapp01/85/Language-processor-implementation-using-python-12-320.jpg)
![Semantic Analyzer. Semantic
Actions
Rule
without semantic actions
complex_action:
- [begin, action_list, end]
Rule
with semantic actions
complex_action:
- [begin, "#200", action_list, end, "#220"]](https://image.slidesharecdn.com/languageprocessorusingpython-131112035813-phpapp01/85/Language-processor-implementation-using-python-13-320.jpg)
![Intermediary code
generation
We
are using tetrads language in order to generate
intermediary code
How tetrads language looks:
Z := X op Y
Z := op X
Z := Y
Z := Y[X]
Z:
GOTO Z
If condition GOTO Z](https://image.slidesharecdn.com/languageprocessorusingpython-131112035813-phpapp01/85/Language-processor-implementation-using-python-16-320.jpg)
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Compiler design computer science engineering.ppt
Compiler design computer science engineering.pptkhandareshobhit17 The document outlines the structure and phases of compiler design, focusing on key components such as lexical analysis, syntax analysis, and semantic analysis. It distinguishes between compilers and interpreters, noting the importance of learning compiler techniques despite their age. Additionally, it covers the classification of compilers and the various activities involved in the compilation process.
Compiler_Project_Srikanth_Vanama
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Structure-Compiler-phases information about basics of compiler. Pdfpdf
Structure-Compiler-phases information about basics of compiler. Pdfpdfovidlivi91 A compiler is a program that translates source code written in one programming language into another language. It performs two main tasks: analysis of the source program and synthesis of a machine-language program. The structure of a compiler typically includes a scanner, parser, semantic routines, code generator, and optimizer. The scanner reads the source code and groups characters into tokens. The parser checks the syntax against a grammar. Semantic routines perform static checking and translation. The code generator produces target code, which may then be optimized. An example compiler output is shown translating a sample program into assembly code.
1._Introduction_.pptx
1._Introduction_.pptxAnbarasan Radhakrishnan R The document provides an overview of compilers and interpreters. It discusses that a compiler translates source code into machine code that can be executed, while an interpreter executes source code directly without compilation. The document then covers the typical phases of a compiler in more detail, including the front-end (lexical analysis, syntax analysis, semantic analysis), middle-end/optimizer, and back-end (code generation). It also discusses interpreters, intermediate code representation, symbol tables, and compiler construction tools.
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COMPILER CONSTRUCTION KU 1.pptxRossy719186 This document provides an introduction to compilers and their construction. It defines a compiler as a program that translates a source program into target machine code. The compilation process involves several phases including lexical analysis, syntax analysis, semantic analysis, code optimization, and code generation. An interpreter directly executes source code without compilation. The document also discusses compiler tools and intermediate representations used in the compilation process.
Compiler design Introduction
Compiler design IntroductionAman Sharma Compilers translate programs written in high-level languages into executable machine code. They perform several phases including lexical analysis, syntax analysis, semantic analysis, code generation, and optimization. The overall goal is to generate efficient executable code from the high-level source code while checking for errors.
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Compiler Design Material
Compiler Design MaterialDr. C.V. Suresh Babu The phases of a compiler are:
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Language processor implementation using python
- 1. Language Processor Implementation using Python
- 2. Objectiv e Implement parser, syntax analyzer, semantic analyzer for Pascal language Show main approaches to implementation of semantic analysis as well as intermediary code generation Parameterize language processor
- 3. Choosing Programming Language I investigated strong and week points of several programming languages: Java Perl Python C++ Delphi As a result I chose Python due to several very good reasons.
- 4. Python Benefits High level programming language Supports object oriented paradigm Convenient data types Relatively fast due to using C based libraries Easy readable syntax Cross-platform Convenient tools for parsing YAML Supports regular expressions out of the box
- 5. Language Processor Work Scheme Entry Parser Syntax Semantics Code gen Exit Вихід In memory tables
- 6. Parser. Tokens Identifier ^[A-Za-z][A-Za-z_0-9]{0,255}$ Integer Const ^[+-]?d{1,10}$ Float Const ^([+-]?((d+.d+)|(d+.d+e[+-]d+)))$ String Literal ^'.{0,65535}'$
- 7. Algorythm of Analyzing Lexems def getClass(self, word): c = None if ((word in self.KeyWords) or (word in metadata["delimiters"]) or (word in metadata["double"]) or (word in metadata["conditional_delimiters"]) or (word in metadata["multiplicative"]) or (word in metadata["additive"]) or (word in metadata["Relation"])): c = word else: for r in self.RegExp.keys(): if re.compile(r).match(word): c = self.RegExp[r] return c
- 8. Attribute Table Separate class Design pattern Singleton Uses hash table as internal structure Fast access Convenient format
- 10. Syntax Analyzer Context free grammar Left associated grammar EBNF Configuration format is yaml Language grammar is easily changed without source code modification
- 11. YAML Configuration Format Benefits Short and readable yaml uses data structures that are native to programming languages like Perl, Python
- 12. Configuration Format of Language Grammar EBNF rule program ::= EBNF Program ID ; block . rule in configuration programme: - [program, id, ;, Block, "."]
- 13. Semantic Analyzer. Semantic Actions Rule without semantic actions complex_action: - [begin, action_list, end] Rule with semantic actions complex_action: - [begin, "#200", action_list, end, "#220"]
- 14. Attribute classes Making code generation process easier, I created a bunch of classes like AttrFor. class AttrFor (AttrObject): self.parameter = None self.first = None self.last = None self.step = None self.body = None
- 16. Intermediary code generation We are using tetrads language in order to generate intermediary code How tetrads language looks: Z := X op Y Z := op X Z := Y Z := Y[X] Z: GOTO Z If condition GOTO Z
- 17. Example of input file program q; var a, b: integer; i: integer; d: integer; begin d := 4; for i:= 1 to (2+2*2)*2 do begin b:=b + 1; a:=a * 2; end; d:=a; end.
- 18. Output of language processor using intermediary code d:=4 i:=1 @Lid1: if i > 12 goto @Lid2 b:=b + 1 a:=a * 2 i := i + 1 goto @Lid1 @Lid2: d:=a
- 19. Bottom line I implemented parser, syntax analyzer, semantic analyzer, intermediary code generation of Pascal programming language I showed main concepts of semantic analysis as well as intermediary code generation Language processor has been parameterized