(An ((Even Better) Lisp) Interpreter (in Python)) Ina previous essayI showed how to write a simple Lisp interpreter in 90 lines of Python:lis.py. In this essay I make the implementation,lispy.py, three times more complicated, but more complete. Each section handles an addition. (1) Ne...
### Lispy: Scheme Interpreter in Python ## (c) Peter Norvig, 2010-16; See http://norvig.com/lispy.html from __future__ import division import math import operator as op ### Types Symbol = str # A Lisp Symbol is implemented as a Python str List = list # A Lisp List is implement...
1],E,function(e){returne?$(C[2],E,K):$(C[3],E,K)});case"callcc":return$(C[1],...
Lisp interpreter written in Python In general there are 2 main requirements for a language to be Turing-Complete: a form of conditional repetition or conditional branching a way to read and write some form of storage (e.g. variables, lists) In this implementation of Lisp interpreter in order...
### lis.py: Scheme Interpreter in Python 3.10## (c) Peter Norvig, 2010-18; See http://norvig.com/lispy.html## Type hints and minor additions by Luciano RamalhoimportmathimportoperatorasopfromcollectionsimportChainMapfromitertoolsimportchainfromtypingimportAny, NoReturnfromtypingimportUnion,List,...
of Python. Anthony Hay is someone, also inspired by Norvig's article, who did the same thing in C++ with his article entitled"Lisp interpreter in 90 lines of C++". (In the article he does point out that the 90 lines are for the core of the interpreter, not the built-in functions)....
lisp-interpreter 这是一个用python实现的lisp子集的解释器基本思路按照王垠的文章 目前实现了以下特性: 基本四则运算 lambda函数,词法闭包 变量绑定 函数调用 下面讲一讲解释器的基本思路: 1.词法分析 词法分析利用python自带的re即可完成,python的re有命名捕获的功能,使词法分析方便了不少。 2.语法分析 语法分析很...
『设计模式』中有一个模式可以解释特定的语法规则,它就是解释器模式(Interpreter Pattern)。不同于常见的策略模式或者是工厂模式,解释器模式在.NET或者JDK中并不常见,而且在业务上也很少会去解释特定的语法,所以它并不被广泛使用。一个解释器可大可小,大可以是复杂的编译器,小也可以是一个简单的字符串解析,但本质上...
More recently Joel gave a presentation on "Make Your Own Lisp Interpreter in 10 Incremental Steps" at LambdaConf 2016:Part 1,Part 2,Part 3,Part 4,Slides. Building/running implementations The simplest way to run any given implementation is to use docker. Every implementation has a docker image...
来翻译一下『(How to Write a (Lisp) Interpreter (in Python))』http://t.cn/RGQkU84