Triangularity | The Triangularity Esolang | Interpreter library

by Mr-Xcoder Python Version: Current License: MIT

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kandi X-RAY | Triangularity Summary

Triangularity is a Python library typically used in Utilities, Interpreter applications. Triangularity has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However Triangularity build file is not available. You can download it from GitHub.

This is a recreational programming language, very minimalistic, that doesn't yet have any kind of loops, and which is only meant to solve easy tasks. Fun fact: Valid Triangularity programs must have the character count listed in OEIS A056220 (except for -1), otherwise you are probably doing something wrong. The documentation is in the wiki. If you have questions, encounter problems, spot bugs or want to request features, please ping me (@Mr.Xcoder) in its dedicated chatroom (SE chat).

Support

Quality

Security

License

Reuse

Support

Triangularity has a low active ecosystem.

It has 4 star(s) with 0 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 1 have been closed. On average issues are closed in 11 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Triangularity is current.

Quality

Triangularity has no bugs reported.

Security

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

License

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

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

Reuse

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

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

Installation instructions are not available. Examples and code snippets are available.

Top functions reviewed by kandi - BETA

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

Parse the given code .
Format QRity code .

Get all kandi verified functions for this library.

Triangularity Key Features

No Key Features are available at this moment for Triangularity.

Triangularity Examples and Code Snippets

No Code Snippets are available at this moment for Triangularity.

Community Discussions

Trending Discussions on Triangularity

special function for solving triangular systems?

QUESTION

special function for solving triangular systems?

Asked 2017-May-22 at 20:14

Up to now I solved (regular) triangular systems always using \ (= mldivide). But this function always first checks whether the matrix is triangular before using an appropriate solver. A naive checking of the triangularity already has about the same order cost as the solving itself. (but therefore increasing the runtime only by a constant factor, so it should usually not matter that much) I wondered:

Is there a built in solver that you can use if you already know that the matrix is triangular that avoids this check?

...

ANSWER

Answered 2017-May-22 at 20:14

You can use linsolve, which has options for various matrix types including triangular matrices. https://www.mathworks.com/help/matlab/ref/linsolve.html

I tried by using Mathworks' example, both were too fast to matter. When scaled up to 5000x3000, linsolve was much faster. And also useless, as resulting matrices were rank deficient, and the method produced completely wrong results full of NaN. Ordinary division worked as expected - there were some errors, but most results were 1.

Source https://stackoverflow.com/questions/44119230

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

Vulnerabilities

No vulnerabilities reported

Install Triangularity

You can download it from GitHub.
You can use Triangularity 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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