Giter Site home page Giter Site logo

ddude1 / axe Goto Github PK

View Code? Open in Web Editor NEW

This project forked from axerunners/axe

0.0 0.0 0.0 91.15 MB

decentralized cryptocurrency

Home Page: https://axerunners.com

License: MIT License

Makefile 1.07% Shell 0.55% M4 1.76% QMake 0.01% Python 11.22% C++ 70.45% C 12.62% Objective-C 0.22% HTML 0.19% CSS 1.03% Objective-C++ 0.05% Java 0.26% CMake 0.02% Dockerfile 0.01% Assembly 0.25% Ruby 0.03% GDB 0.01% Sage 0.26%

axe's Introduction

M: Build Status

D: Build Status

t: Version tag

What is Axe?

Axe is an experimental digital currency that enables instant, private payments to anyone, anywhere in the world. Axe uses peer-to-peer technology to operate with no central authority: managing transactions and issuing money are carried out collectively by the network. Axe Core is the name of the open source software which enables the use of this currency.

License

Axe Core is released under the terms of the MIT license. See COPYING for more information or see https://opensource.org/licenses/MIT.

Development Process

The master branch is meant to be stable. Development is normally done in separate branches. Tags are created to indicate new official, stable release versions of Axe Core.

The contribution workflow is described in CONTRIBUTING.md.

Testing

Testing and code review is the bottleneck for development; we get more pull requests than we can review and test on short notice. Please be patient and help out by testing other people's pull requests, and remember this is a security-critical project where any mistake might cost people lots of money.

Automated Testing

Developers are strongly encouraged to write unit tests for new code, and to submit new unit tests for old code. Unit tests can be compiled and run (assuming they weren't disabled in configure) with: make check. Further details on running and extending unit tests can be found in /src/test/README.md.

There are also regression and integration tests, written in Python, that are run automatically on the build server. These tests can be run (if the test dependencies are installed) with: test/functional/test_runner.py

The Travis CI system makes sure that every pull request is built for Windows, Linux, and OS X, and that unit/sanity tests are run automatically.

Manual Quality Assurance (QA) Testing

Changes should be tested by somebody other than the developer who wrote the code. This is especially important for large or high-risk changes. It is useful to add a test plan to the pull request description if testing the changes is not straightforward.

axe's People

Contributors

10xcryptodev avatar charlesrocket avatar codablock avatar codacy-badger avatar cofresi avatar cryptoteller avatar ddude1 avatar fanquake avatar gitter-badger avatar hebasto avatar jnewbery avatar jonasschnelli avatar jtimon avatar konez2k avatar laanwj avatar nmarley avatar oleggirko avatar pastapastapasta avatar promag avatar ryanofsky avatar sc-9310 avatar sipa avatar sparkuss avatar spazcadet avatar ssdbkey avatar strophy avatar thephez avatar udjinm6 avatar willyko avatar xdustinface avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.