dominators | Various dominator tree algorithms | Learning library

by julianjensen JavaScript Version: 1.1.2 License: Non-SPDX

X-Ray Key Features Code Snippets Community Discussions(4)Vulnerabilities Install Support

kandi X-RAY | dominators Summary

dominators is a JavaScript library typically used in Tutorial, Learning, Example Codes, LeetCode applications. dominators has no bugs, it has no vulnerabilities and it has low support. However dominators has a Non-SPDX License. You can install using 'npm i dominators' or download it from GitHub, npm.

Various dominator tree generators. It implements two different methods for finding the immediate dominators of a graph.

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Support

dominators has a low active ecosystem.

It has 10 star(s) with 2 fork(s). There are 1 watchers for this library.

It had no major release in the last 12 months.

There are 3 open issues and 0 have been closed. There are 6 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of dominators is 1.1.2

Quality

dominators has 0 bugs and 0 code smells.

Security

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

dominators code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

dominators has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

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

Deployable package is available in npm.

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

Top functions reviewed by kandi - BETA

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

Generate a water tree .
link an array of nodes to its predecessor
This function is used to iterate the DAG tree
perform a iteration decision
Convert text to graph format .
Traverses the id of a finger s starting at the end of the fingers .
Recursively visit a tree .
Creates all the edges of the given node tree
Create nodes .
Takes an array of id and returns the result .

Get all kandi verified functions for this library.

dominators Key Features

No Key Features are available at this moment for dominators.

dominators Examples and Code Snippets

No Code Snippets are available at this moment for dominators.

Community Discussions

Trending Discussions on dominators

Iterating over llvm::Function to get pass result

Finding the first UIP in an inference graph

State is not updating from a function when the components are inside an array

def count_dominators(items). Finding Dominators in a List. How to make this more efficient?

QUESTION

Iterating over llvm::Function to get pass result

Asked 2021-May-31 at 12:37

I am trying to perform some analysis on llvm IR. For this I try to get the result of the MemorySSAAnalysis pass in each function of a IR module.

However when analyzing the second function, a crash occurs:

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ANSWER

Answered 2021-May-31 at 12:37

It seems it was not an issue with the code but with the input data which had debug info (see EDIT2 in the question)

Source https://stackoverflow.com/questions/67724496

QUESTION

Finding the first UIP in an inference graph

Asked 2021-May-04 at 13:23

In SAT solving by conflict-driven clause learning, each time a solver detects that a candidate set of variable assignments leads to a conflict, it must look at the causes of the conflict, derive a clause from this (i.e. a lemma in terms of the overall problem) and add it to the set of known clauses. This entails choosing a cut in the implication graph, from which to derive the lemma.

A common way to do this is to pick the first unique implication point.

Per https://users.aalto.fi/~tjunttil/2020-DP-AUT/notes-sat/cdcl.html

A vertex l in the implication graph is a unique implication point (UIP) if all the paths from the latest decision literal vertex to the conflict vertex go through l.

The first UIP by the standard terminology is the first one encountered when backtracking from the conflict.

In alternative terminology, a UIP is a dominator on the implication graph, relative to the latest decision point and the conflict. As such, it could be found by building the implication graph and using a standard algorithm for finding dominators.

But finding dominators can take a nontrivial amount of CPU time, and I get the impression practical CDCL solvers use a faster algorithm specific to this context. However, I have not been able to find anything more specific than 'take the first UIP'.

What is the best known algorithm for finding the first UIP?

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ANSWER

Answered 2021-May-04 at 13:23

Without getting into data structural details, we have the implication graph and the trail, which is a prefix of a topological order of the implication graph. We want to pop vertices from the trail until we arrive at a unique implication point – this will be the first.

We recognize the unique implication point by tracking the set of vertices v in the trail such that there exists a path from the last decision literal through v to the conflict literal where the vertex following v in the path does not belong to the trail. Whenever this set consists of a single vertex, that vertex is a unique implication point.

Initially, this set is the two conflicting literals, since the conflict vertex does not belong to the trail. Until the set has one vertex, we pop the vertex v most recently added to the trail. If v belongs to the set, we remove it and add its predecessors (discarding duplicates, natch).

In the example from the linked site, the evolution of the set is

Source https://stackoverflow.com/questions/67379492

QUESTION

State is not updating from a function when the components are inside an array

Asked 2021-Apr-21 at 06:39

Changing state from other components in this case (Dominator) is working but when I put those components inside an array and do the same thing the updateCounter function is getting called but it's not updating the counter state.

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ANSWER

Answered 2021-Apr-21 at 04:30

Issue

The issue is stale state enclosures in the updateCounter callback. Each mapped element is receiving a callback with the same value of counter to update from.

Storing instantiated React components in state is also anti-pattern and doesn't help the stale state enclosures. You should store the data only and render the derived JSX from the data.

Solution

Use a functional state update to correctly update from the previous state instead of the state the callback/state update was enclosed in.

Store only the data in the dominators state and map it to the Dominator component.

Source https://stackoverflow.com/questions/67189162

QUESTION

def count_dominators(items). Finding Dominators in a List. How to make this more efficient?

Asked 2020-Oct-12 at 17:31

I was given a problem where I need to find the number of dominators in a list. Here is a description of the problem. And here is what I came up with: my solution.

From what I can tell, the code works but when it gets to very large numbers, like the final test, it takes way to long to return anything. I'm pretty sure there's a way to reduce this into a single loop but I have no idea how to do this.

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ANSWER

Answered 2020-Oct-12 at 17:31

there is a linear solution I hope u can use it.

in this way, the pointer move from end to start and if find a new maximum, the counter(n) plus one.

Source https://stackoverflow.com/questions/64322288

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

Vulnerabilities

No vulnerabilities reported

Install dominators

You can install using 'npm i dominators' or download it from GitHub, npm.

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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