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GitHub - kholk/kernel-upstream: Upstream kernel integration Jul 28, �� Could someone explain what an "upstream" kernel means? Also, are there other kernel types? well i'm not Upstream And Downstream Problems Jobs quite sure bit as far as i know, an upstream package or kernel is a component that comes from repository belonging to a distro other than the one you're using, usually a larger one that supplies packages to newer one. Merging from sibling or upstream trees� While merges from downstream are common and unremarkable, merges from other trees tend to be a red flag when it comes time to push a branch upstream. Such merges need to be carefully thought about and well justified, or there�s a good chance that a subsequent pull request will be rejected. Algebra Rate Problems (upstream/downstream) Covid has led the world to go through a phenomenal transition. E-learning is the future today. Stay Home, Stay Safe and keep learning!!! Important tips for solving Algebra Rate problems. Algebra Rate problems are used to find the distance traveled or time required for traveling certain distance.
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You have to substitute the above values in the below formula. This type is similar to type 1. But there is one difference. Here you have to find speed of stream and not the speed of the boat. You have to use the below formula to find speed of stream. Example Question 2: A man rows downstream 30 km and upstream 12 km. If he takes 4 hours to cover each distance, then the velocity of the current is:. Solution: In this question, downstream and upstream speeds are not given directly.

Hence you have to calculate them first. Step 3: Calculation of speed of stream You have to substitute values got in steps 1 and 2 in below formula to find the speed of the stream. In this type, you have to find distance of places based on given conditions. Below example will help you to understand better. If in a river running at 2 km an hour, it takes him 40 minutes to row to a place and return back, how far off is the place?

The man rows to a particular place and comes back. You have to calculate the distance of this place. Let this distance be X. See the below diagram to understand clearly. Realize that reparenting a patch series or making significant history modifications changes the environment in which it was developed and, likely, invalidates much of the testing that was done. A reparented patch series should, as a general rule, be treated like new code and retested from the beginning.

A frequent cause of merge-window trouble is when Linus is presented with a patch series that has clearly been reparented, often to a random commit, shortly before the pull request was sent. The chances of such a series having been adequately tested are relatively low - as are the chances of the pull request being acted upon. If, instead, rebasing is limited to private trees, commits are based on a well-known starting point, and they are well tested, the potential for trouble is low.

Merging is a common operation in the kernel development process; the 5. Kernel work is accumulated in over different subsystem trees, each of which may contain multiple topic branches; each branch is usually developed independently of the others.

So naturally, at least one merge will be required before any given branch finds its way into an upstream repository. Many projects require that branches in pull requests be based on the current trunk so that no merge commits appear in the history. The kernel is not such a project; any rebasing of branches to avoid merges will, most likely, lead to trouble. Subsystem maintainers find themselves having to do two types of merges: from lower-level subsystem trees and from others, either sibling trees or the mainline.

The best practices to follow differ in those two situations. Larger subsystems tend to have multiple levels of maintainers, with the lower-level maintainers sending pull requests to the higher levels. Acting on such a pull request will almost certainly generate a merge commit; that is as it should be. In fact, subsystem maintainers may want to use the �no-ff flag to force the addition of a merge commit in the rare cases where one would not normally be created so that the reasons for the merge can Upstream And Downstream Problems Laboratories be recorded.

The changelog for the merge should, for any kind of merge, say why the merge is being done. Maintainers at all levels should be using signed tags on their pull requests, and upstream maintainers should verify the tags when pulling branches. Failure to do so threatens the security of the development process as a whole. While merges from downstream are common and unremarkable, merges from other trees tend to be a red flag when it comes time to push a branch upstream.

Back merges can help to make sure that there are no conflicts with parallel development and generally gives a warm, fuzzy feeling of being up-to-date. But this temptation should be avoided almost all of the time. Why is that? Back merges will muddy the development history of your own branch. They will significantly increase your chances of encountering bugs from elsewhere in the community and make it hard to ensure that the work you are managing is stable and ready for upstream.

Frequent merges can also obscure problems with the development process in your tree; they can hide interactions with other trees that should not be happening often in a well-managed branch. That said, back merges are occasionally required; when that happens, be sure to document why it was required in the commit message.

As always, merge to a well-known stable point, rather than to some random commit. Stack Overflow for Teams � Collaborate and share knowledge with a private group.

Create a free Team What is Teams? Learn more. What does Upstream and Downstream mean? Ask Question. Asked 10 years, 5 months ago. Active 10 years, 5 months ago. Viewed 12k times. Improve this question. Joshua Enfield. Joshua Enfield Joshua Enfield 3, 8 8 gold badges 38 38 silver badges 56 56 bronze badges.

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