Python Lex-Yacc

Related tags

Text Processingply
Overview

PLY (Python Lex-Yacc)

Copyright (C) 2001-2020 David M. Beazley (Dabeaz LLC) All rights reserved.

Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:

  • Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer.
  • Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution.
  • Neither the name of the David Beazley or Dabeaz LLC may be used to endorse or promote products derived from this software without specific prior written permission.

THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.

Introduction

PLY is a 100% Python implementation of the common parsing tools lex and yacc. Here are a few highlights:

  • PLY is very closely modeled after traditional lex/yacc. If you know how to use these tools in C, you will find PLY to be similar.

  • PLY provides very extensive error reporting and diagnostic information to assist in parser construction. The original implementation was developed for instructional purposes. As a result, the system tries to identify the most common types of errors made by novice users.

  • PLY provides full support for empty productions, error recovery, precedence specifiers, and moderately ambiguous grammars.

  • Parsing is based on LR-parsing which is fast, memory efficient, better suited to large grammars, and which has a number of nice properties when dealing with syntax errors and other parsing problems. Currently, PLY builds its parsing tables using the LALR(1) algorithm used in yacc.

  • PLY uses Python introspection features to build lexers and parsers.
    This greatly simplifies the task of parser construction since it reduces the number of files and eliminates the need to run a separate lex/yacc tool before running your program.

  • PLY can be used to build parsers for "real" programming languages. Although it is not ultra-fast due to its Python implementation, PLY can be used to parse grammars consisting of several hundred rules (as might be found for a language like C). The lexer and LR parser are also reasonably efficient when parsing typically sized programs. People have used PLY to build parsers for C, C++, ADA, and other real programming languages.

How to Use

PLY consists of two files : lex.py and yacc.py. These are contained within the ply directory which may also be used as a Python package. To use PLY, simply copy the ply directory to your project and import lex and yacc from the associated ply package. For example:

from .ply import lex
from .ply import yacc

Alternatively, you can copy just the files lex.py and yacc.py individually and use them as modules however you see fit. For example:

import lex
import yacc

If you wish, you can use the install.py script to install PLY into virtual environment.

PLY has no third-party dependencies.

The docs/ directory contains complete documentation on how to use the system. Documentation available at https://ply.readthedocs.io

The example directory contains several different examples including a PLY specification for ANSI C as given in K&R 2nd Ed.

A simple example is found at the end of this document

Requirements

PLY requires the use of Python 3.6 or greater. However, you should use the latest Python release if possible. It should work on just about any platform.

Note: PLY does not support execution under python -OO. It can be made to work in that mode, but you'll need to change the programming interface with a decorator. See the documentation for details.

Resources

Official Documentation is available at:

More information about PLY can be obtained on the PLY webpage at:

For a detailed overview of parsing theory, consult the excellent book "Compilers : Principles, Techniques, and Tools" by Aho, Sethi, and Ullman. The topics found in "Lex & Yacc" by Levine, Mason, and Brown may also be useful.

The GitHub page for PLY can be found at:

Acknowledgments

A special thanks is in order for all of the students in CS326 who suffered through about 25 different versions of these tools :-).

The CHANGES file acknowledges those who have contributed patches.

Elias Ioup did the first implementation of LALR(1) parsing in PLY-1.x. Andrew Waters and Markus Schoepflin were instrumental in reporting bugs and testing a revised LALR(1) implementation for PLY-2.0.

Example

Here is a simple example showing a PLY implementation of a calculator with variables.

# -----------------------------------------------------------------------------
# calc.py
#
# A simple calculator with variables.
# -----------------------------------------------------------------------------

tokens = (
    'NAME','NUMBER',
    'PLUS','MINUS','TIMES','DIVIDE','EQUALS',
    'LPAREN','RPAREN',
    )

# Tokens

t_PLUS    = r'\+'
t_MINUS   = r'-'
t_TIMES   = r'\*'
t_DIVIDE  = r'/'
t_EQUALS  = r'='
t_LPAREN  = r'\('
t_RPAREN  = r'\)'
t_NAME    = r'[a-zA-Z_][a-zA-Z0-9_]*'

def t_NUMBER(t):
    r'\d+'
    t.value = int(t.value)
    return t

# Ignored characters
t_ignore = " \t"

def t_newline(t):
    r'\n+'
    t.lexer.lineno += t.value.count("\n")

def t_error(t):
    print(f"Illegal character {t.value[0]!r}")
    t.lexer.skip(1)

# Build the lexer
import ply.lex as lex
lex.lex()

# Precedence rules for the arithmetic operators
precedence = (
    ('left','PLUS','MINUS'),
    ('left','TIMES','DIVIDE'),
    ('right','UMINUS'),
    )

# dictionary of names (for storing variables)
names = { }

def p_statement_assign(p):
    'statement : NAME EQUALS expression'
    names[p[1]] = p[3]

def p_statement_expr(p):
    'statement : expression'
    print(p[1])

def p_expression_binop(p):
    '''expression : expression PLUS expression
                  | expression MINUS expression
                  | expression TIMES expression
                  | expression DIVIDE expression'''
    if p[2] == '+'  : p[0] = p[1] + p[3]
    elif p[2] == '-': p[0] = p[1] - p[3]
    elif p[2] == '*': p[0] = p[1] * p[3]
    elif p[2] == '/': p[0] = p[1] / p[3]

def p_expression_uminus(p):
    'expression : MINUS expression %prec UMINUS'
    p[0] = -p[2]

def p_expression_group(p):
    'expression : LPAREN expression RPAREN'
    p[0] = p[2]

def p_expression_number(p):
    'expression : NUMBER'
    p[0] = p[1]

def p_expression_name(p):
    'expression : NAME'
    try:
        p[0] = names[p[1]]
    except LookupError:
        print(f"Undefined name {p[1]!r}")
        p[0] = 0

def p_error(p):
    print(f"Syntax error at {p.value!r}")

import ply.yacc as yacc
yacc.yacc()

while True:
    try:
        s = input('calc > ')
    except EOFError:
        break
    yacc.parse(s)

Bug Reports and Patches

My goal with PLY is to simply have a decent lex/yacc implementation for Python. As a general rule, I don't spend huge amounts of time working on it unless I receive very specific bug reports and/or patches to fix problems. At this time, PLY is mature software and new features are no longer being added. If you think you have found a bug, please visit the PLY Github page at https://github.com/dabeaz/ply to report an issue.

Take a Class!

If you'd like to learn more about compiler principles and have a go at implementing a compiler, come take a course. https://www.dabeaz.com/compiler.html.

-- Dave

Owner
David Beazley
Author of the Python Essential Reference (Addison-Wesley), Python Cookbook (O'Reilly), and former computer science professor. Come take a class!
David Beazley
Repository containing the code for An-Gocair text normaliser

Scottish Gaelic Text Normaliser The following project contains the code and resources for the Scottish Gaelic text normalisation project. The repo can

3 Jun 28, 2022
Text Summarizationcls app with python

Text Summarizationcls app This is the repo for the Text Summarization AI Project. It makes use of pre-trained Hugging Face models Packages Used The pa

Edem Gold 1 Oct 23, 2021
Chilean Digital Vaccination Pass Parser (CDVPP) parses digital vaccination passes from PDF files

cdvpp Chilean Digital Vaccination Pass Parser (CDVPP) parses digital vaccination passes from PDF files Reads a Digital Vaccination Pass PDF file as in

Esteban Borai 1 Nov 17, 2021
Production First and Production Ready End-to-End Keyword Spotting Toolkit

WeKws Production First and Production Ready End-to-End Keyword Spotting Toolkit. The goal of this toolkit it to... Small footprint keyword spotting (K

222 Dec 30, 2022
Translate .sbv subtitle files

deepl4subtitle Deeplを使って字幕ファイル(.sbv)を翻訳します。タイムスタンプも含めて出力しますが、翻訳時はタイムスタンプは文の一部とは切り離されるので、.sbvファイルをそのまま翻訳機に突っ込むよりも高精度な翻訳ができるはずです。 つかいかた 入力する.sbvファイルの前処理

Yasunori Toshimitsu 1 Oct 20, 2021
A production-ready pipeline for text mining and subject indexing

A production-ready pipeline for text mining and subject indexing

UF Open Source Club 12 Nov 06, 2022
Python character encoding detector

Chardet: The Universal Character Encoding Detector Detects ASCII, UTF-8, UTF-16 (2 variants), UTF-32 (4 variants) Big5, GB2312, EUC-TW, HZ-GB-2312, IS

Character Encoding Detector 1.8k Jan 08, 2023
ChirpText is a collection of text processing tools for Python 3.

ChirpText is a collection of text processing tools for Python 3. It is not meant to be a powerful tank like the popular NTLK but a small package which

Le Tuan Anh 5 Nov 30, 2022
Python flexible slugify function

awesome-slugify Python flexible slugify function PyPi: https://pypi.python.org/pypi/awesome-slugify Github: https://github.com/dimka665/awesome-slugif

Dmitry Voronin 471 Dec 20, 2022
A minimal code sceleton for a textadveture parser written in python.

Textadventure sceleton written in python Use with a map file generated on https://www.trizbort.io Use the following Sockets for walking directions: n

1 Jan 06, 2022
This repos is auto action which generating a wordcloud made by Twitter.

auto_tweet_wordcloud This repos is auto action which generating a wordcloud made by Twitter. Preconditions Install Python dependencies pip install -r

tubone(Yu Otsubo) 0 Apr 29, 2022
Export solved codewars kata challenges to a text file.

Codewars Kata Exporter Note:this is not totally my work.i've edited the project to make more easier and faster for me.you can find the original work h

Oussama Ben Sassi 4 Aug 13, 2021
知乎评论区词云分析

zhihu-comment-wordcloud 知乎评论区词云分析 起源于:如何看待知乎问题“男生真的很不能接受彩礼吗?”的一个回答下评论数超8万条,创单个回答下评论数新记录? 项目代码说明 2.download_comment.py 下载全量评论 2.word_cloud_by_dt 生成词云 2

李国宝 10 Sep 26, 2022
WorldCloud Orçamento de Estado 2022

World Cloud Orçamento de Estado 2022 What it does This script creates a worldcloud, masked on a image, from a txt file How to run it? Install all libr

Jorge Gomes 2 Oct 12, 2021
An anthology of a variety of tools for the Persian language in Python

An anthology of a variety of tools for the Persian language in Python

Persian Tools 106 Nov 08, 2022
An experimental Fang Song style Chinese font generated with skeleton-tracing and pix2pix

An experimental Fang Song style Chinese font generated with skeleton-tracing and pix2pix, with glyphs based on cwTeXFangSong. The font is optimised fo

Lingdong Huang 98 Jan 07, 2023
"Complexity" of Flags of the countries of the world

"Complexity" of Flags of the countries of the world Flags (png) from: https://flagcdn.com/w2560.zip https://flagpedia.net/download/images run: chmod +

Alexander Lelchuk 1 Feb 10, 2022
Username reconnaisance tool that checks the availability of a specified username on over 200 websites.

Username reconnaisance tool that checks the availability of a specified username on over 200 websites. Installation & Usage Clone from Github: $ git c

Richard Mwewa 20 Oct 30, 2022
A python Tk GUI that creates, writes text and attaches images into a custom spreadsheet file

A python Tk GUI that creates, writes text and attaches images into a custom spreadsheet file

Mirko Simunovic 13 Dec 09, 2022
The Levenshtein Python C extension module contains functions for fast computation of Levenshtein distance and string similarity

Contents Maintainer wanted Introduction Installation Documentation License History Source code Authors Maintainer wanted I am looking for a new mainta

Antti Haapala 1.2k Dec 16, 2022