rule_110 | Parellelized Rule 110 implementation

by billpmurphy Python Version: Current License: MIT

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kandi X-RAY | rule_110 Summary

rule_110 is a Python library. rule_110 has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However rule_110 build file is not available. You can download it from GitHub.

Python code to run Rule 110 sequentially and in parallel. I wrote this because I was wondering how much of a speedup you get from executing Rule 110 in parallel processes, given that a lot of communication between processes is necessary because of how the rules work. As it turns out, there is still a substandial speedup from using multiple processes even for pretty small inputs (>1000-cell tape with a few thousand iterations). The file rule_110.py contains two implementations of Rule 110 (one that runs in a single process, one that runs in multiple processes) and a simple benchmark test that you can play with.

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rule_110 has a low active ecosystem.

It has 5 star(s) with 0 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

rule_110 has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of rule_110 is current.

Quality

rule_110 has no bugs reported.

Security

rule_110 has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

rule_110 is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

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rule_110 releases are not available. You will need to build from source code and install.

rule_110 has no build file. You will be need to create the build yourself to build the component from source.

Top functions reviewed by kandi - BETA

kandi has reviewed rule_110 and discovered the below as its top functions. This is intended to give you an instant insight into rule_110 implemented functionality, and help decide if they suit your requirements.

Generator for parallel parallel method
Process a section section .
Standard method
Returns True if the argument is an 110 .
Runs the main method .
Decorator for timed functions .
Pretty print row .

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rule_110 Key Features

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rule_110 Examples and Code Snippets

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Community Discussions

Trending Discussions on rule_110

Proof of Turing Completeness for a stack-based language

QUESTION

Proof of Turing Completeness for a stack-based language

Asked 2017-Jul-20 at 21:09

I'm writing a joke language that is based on stack operations. I've tried to find the minimum amount of instructions necessary to make it Turing complete, but have no idea if a language based on one stack can even be Turing complete. Will these instructions be enough?

...

ANSWER

Answered 2017-Jul-02 at 12:36

If you want to prove that your language is Turing complete, then you should look at this Q&A on the Math StackExchange site.

How to Prove a Programming Language is Turing Complete?

One approach is to see if you can write a program using your language that can simulate an arbitrary Turing Machine. If you can, that is a proof of Turing completeness.

If you want to know if any of those instructions are superfluous, see if you can simplify your TM emulator to not use one of the instructions.

But if you want to know if a smaller Turing complete language is possible, look at SKI Combinator Calculus. Arguably, there are three instructions: the S, K and I combinators. And I is apparently redundant.

Source https://stackoverflow.com/questions/44866577

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install rule_110

You can download it from GitHub.
You can use rule_110 like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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