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May be fixed according to the position in the backlog. A defect with this priority could have functionality issues which are not to expectations. Once P0 defects have been fixed, a defect having this priority is the next candidate for fixing. Needs to be fixed before any other issues. This generally occurs in cases when the entire functionality is blocked. The defect needs to be fixed right now, everything else can wait.

Devdocs github professional#

Affects aesthetics, professional look and feel, “quality” or “usability”. Impact that does not prevent or hinder functionality. A minor problem, annoyance, or technical issue with minimal impact. The fix is in an area that is not critical. Problem has moderate impact requiring some restrictions. Affects non-critical data or functionality and does not force users to employ a workaround. Major restrictions or short-term circumventions are required until a fix is available. Impact to the product qualities that makes the product more usable. Affects non-critical data or functionality and forces users to employ a workaround. Affects critical data or functionality and forces users to employ a workaround. A problem that is blocking the ability to work. Affects critical data or functionality and leaves users with no workaround. Priority and severity descriptions Severity Severity is a measure of how ‘bad’ the bug is and how much disruption it causes, without regard to remaining work or the release schedule. It is a reflection on how bad the bug is for the system and also for business or marketing requirements. Priority also helps to determine the scheduling of the fix: Higher priority bugs will be fixed and merged first. The defect priority status is set by Product Managers. Priority signifies how important or detrimental a defect is. Magento and Community Maintainers process contributions based on the issue/pull requests priority starting from P0, P1 to P4. If you would like to contribute improvements or bug fixes to Magento, and make sure it is valuable for the Community and Magento as well, we highly recommend that Community Contributors to take issues from the backlog based on Priority. Having clear contribution rules in place helps to build clear expectations for Community Contributors and establish clear priorities for Community Maintainers and the Magento team. This approach makes open-source collaboration more transparent for all participants. In order to provide timely resolution on the most critical issues and pull requests, the Magento team has implemented Severity/Priority concepts to our community driven projects. All contributors are required to submit a click-through form to agree to the terms.

Devdocs github license#

Refer to the Adobe Contributor Agreement for detailed information about the License Agreement. When the Community Engineering Team works on reviewing the suggested changes, we will add a label to the issue to indicate certain information, like the status or who is working the issue. If there is no response from the contributor in two weeks (14 days) time, the issue might be closed. During the review we might require clarifications from the contributor. The Community Engineering Team reviews all issues and contributions submitted by the community developers. The forked repository is then used to submit a pull request to the base repository to merge a set of changes from the fork into the main repository.Ĭontributions can take the form of new components or features, changes to existing features, tests, documentation (such as developer guides, user guides, examples, or specifications), bug fixes, optimizations, or just good suggestions. This method allows contributors to maintain their own copy of the forked codebase, which can be easily synced with the main copy. We use the fork and pull model to contribute to the Magento 2 codebase.

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Join us in our Slack workspace, in the #general channel, follow the #announcements, and browse for more channels! Contribute to Magento 2 code Code ContributionsĬonnect with Magento Contributors and Maintainers to learn more about Magento contributions and special projects. See Migrated topics for the complete list. This page has moved and will be redirected soon.

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Matplotlib is an open source project with limited resources, we encourage The Matplotlib developers will give feedback on the feature proposal. Thank you for your help in keeping bug reports complete, targeted and descriptive. We have preloaded the issue creation page with a Markdown form that you can _version_ '3.4.1' > import platform > platform. YouĬan grab the version with the following commands: The Matplotlib version, Python version and platform that you are using.

#Devdocs github code#

The expected outcome of the code snippet. In most cases, this should be 1-2Ī short, self-contained code snippet to reproduce the bug, ideally allowingĪ simple copy and paste to reproduce. If you are reporting a bug, please do your best to include the following:Ī short, top-level summary of the bug. If you find a bug in the code or documentation, do not hesitate to submit aĪlso welcome to post feature requests or pull requests.

#Devdocs github free#

Unresponsive, feel free to open a new PR referencing the old one. PR is an outline, unlikely to work, or stalled, and the original author is Submitting reviews of their code or commenting on the PR rather than openingĪ new PR duplicate PRs are subject to being closed. If there is, try to work with the author by Please check if there is an existing PR for the If you have opened such a PR, please comment on the issue thread toĪvoid duplication of work. "assigned" or "claimed" by opening a PR there is no other assignment In general, the Matplotlib project does not assign issues. Have subtleties due to our implementation decisions. It involves Python features such as decorators and context managers, which It has less clearly defined tasks, which require some independentĮxploration, making suggestions, or follow-up discussions to clarify a good The issue is in areas of the code base which have more interdependencies, Though not necessarily all at the same time: This could be for a variety of reasons, among them, Difficulty: Medium and Difficulty: Hard require more Difficulty: Easy is suited for people with little PythonĮxperience. The issues may additionally be tagged with aĭifficulty. TheseĪre well documented issues, that do not require a deep understanding of the Particularly suited for new contributors by the label good first issue. While any contributions are welcome, we have marked some issues as We

#Devdocs github how to#

Or a blog post, how to get involved in community work, or get Works, technical questions about the code, what makes for good documentation Questions about anything: how to use git, github, how our PR review process Get guidance and support for your first few PRs. Is a private gitter room moderated by core Matplotlib developers where you can The incubator is our non-public communication channel for new contributors. Take a look at the next sections to learn more. When in doubt, we recommend going together! Get connected with our community ofĪctive contributors, many of whom felt just like you when they started out andĪre happy to welcome you and support you as you get to know how we work, and There are so many ways to contribute to our community. Get Connected # Do I really have something to contribute to Matplotlib? #ġ00% yes. This project is a community effort, and everyone is welcome toĬontribute. MEP28: Remove Complexity from Axes.boxplot MEP15: Fix axis autoscaling when limits are specified for one axis only Making your own copy (fork) of Matplotlib

#Devdocs github how to#

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There are so many ways to contribute to our community. Get Connected # Do I really have something to contribute to Matplotlib? #ġ00% yes. This project is a community effort, and everyone is welcome toĬontribute. MEP28: Remove Complexity from Axes.boxplot MEP15: Fix axis autoscaling when limits are specified for one axis only Some tests generate screenshots of the WebGL canvas in order to compare renderings to previous snapshots.Making your own copy (fork) of Matplotlib Generally, a test is contained with an it('test name') block in the tests/ file. There are numerous existing tests, so you can probably use one of those as a template. You can find tests in the tests folder within the niivue project. If you add a feature, or fix a bug please try to add a test for it. When testing locally from other devices you can navigate to your development computer's local IP address (assuming your phone and computer are on the same local network) at the port specified in the URL you see when running npm run demo. Therefore, please do your best to test features on as many devices as you have access to. When adding features please keep in mind that we want NiiVue to work on all devices that support WebGL 2.0 (laptops, desktops, tablets, and phones). It also gives everyone a change to comment on new posts. Using IssuesĪll contributions should start as a new issue on the NiiVue issue board.īy starting a new issue for everything we ping everyone watching the project at the same time, and therefore alerting them to the feature, bug, or question.

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Feel free to update documentation, add features, fix bugs, or just ask questions on the issue board. # then copy the contents of fnt.txt to the font string in src/fnt.jsĪll contributions to NiiVue are encouraged and welcomed. Nv.loadVolumes(this.volumeList) // press the "v" key to cycle through views Nv.setSliceType(nv.sliceTypeMultiPlanar) // press the "v" key to cycle through views Nv.attachTo('gl') // the canvas element id the parent element can be any size you want (small or large) Niivue will adjust the canvas to 100% of its parent container's size first object in array is background image

WebGL 2.0 capable web browser (Chrome, FireFox).

See the examples here Requirements for NiiVue to work All live views reflect the capabilities of the NiiVue version in the main branch. These are updated and deployed automatically. We host many NiiVue examples via github pages.

Wellcome Centre for Integrative Neuroimaging (University of Oxford).

Center for the Study of Aphasia Recovery (University of South Carolina).

This will enable other researchers and developers to build cloud-based medical imaging tools with a powerful viewer that can operate on any device (desktop, tablet, mobile). The primary aim of NiiVue is to translate the features of the widely used native desktop applications ( MRIcroGL, Surfice) to their web-based equivalents. See our active projects here Overview/Mission

#Devdocs github install#

Installs without the bloat of the development dependencies or testing frameworks npm install -only=prod Projects Getting started Docs and ReferencesĬlick here to go to the docs web page Install NiiVue using npm

#Devdocs github how to#

Our web-based user interface implementation (under development) will demonstrate how to integrate NiiVue into a more comprehensive VueJS, React and Angular projects. However, developers who wish to build custom user interfaces around the NiiVue canvas can manipulate the rendered images and change settings via the API. This core package does not include a comprehensive user interface outside of the canvas (e.g. NiiVue includes many mouse and keyboard interactions that enable browsing and manipulating images displayed in the canvas. The NiiVue package is intented to be used by individuals developing interactive web pages related to showing nifti and other formats popular in neuroimaging. We have additional projects under development that will demonstrate a web-based user interface implementation, and a desktop application built using web technologies. This repository contains the core NiiVue package. NiiVue is a WebGL 2.0 medical image viewer.