sssp | S3 Proxy Mesos Framework | Job Orchestrator library

 by   mesosphere-backup Scala Version: Current License: No License

kandi X-RAY | sssp Summary

kandi X-RAY | sssp Summary

sssp is a Scala library typically used in Data Processing, Job Orchestrator, Framework applications. sssp has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

JSON routing configuration — mapping prefixes in SSSP to buckets in S3 — can be POST`ed to the root resource (/) as well as added to a configuration file (`conf/s3.json by default). The JSON configuration is a map of prefixes to JSON objects containing a bucket name and AWS access credentials:. The prefixes are always treated as though they started and ended with a slash (though both slashes can be safely omitted from the configuration). Thus, to obtain the S3 object s3://memes.example.com/m/molly/glasses.gif given the above configuration, one would issue GET /gifs/team/m/molly/glasses.gif to SSSP.
Support
    Quality
      Security
        License
          Reuse

            kandi-support Support

              sssp has a low active ecosystem.
              It has 62 star(s) with 10 fork(s). There are 171 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 3 open issues and 2 have been closed. On average issues are closed in 6 days. There are 1 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of sssp is current.

            kandi-Quality Quality

              sssp has 0 bugs and 0 code smells.

            kandi-Security Security

              sssp has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              sssp code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              sssp does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
              OutlinedDot
              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

              sssp releases are not available. You will need to build from source code and install.
              Installation instructions are not available. Examples and code snippets are available.
              It has 1028 lines of code, 78 functions and 22 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi's functional review helps you automatically verify the functionalities of the libraries and avoid rework.
            Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of sssp
            Get all kandi verified functions for this library.

            sssp Key Features

            No Key Features are available at this moment for sssp.

            sssp Examples and Code Snippets

            No Code Snippets are available at this moment for sssp.

            Community Discussions

            QUESTION

            Printing Dijkstra SSSP with recursion and in reverse order
            Asked 2022-Mar-18 at 15:41

            I'm trying to print out the SSSP in a specific order but I'm stucked.

            lets say I have 2 array:

            node = [0, 1, 2, 3] pred = [-1, 2, 0, 1]

            This is the code I've come up with:

            ...

            ANSWER

            Answered 2022-Mar-18 at 15:41

            Just move theprintf node statement to execute after the recursive call.

            Source https://stackoverflow.com/questions/71529402

            QUESTION

            Running pgc++ programs on Cluster
            Asked 2022-Mar-09 at 15:53

            I tried to run the below OPenACC program on cluster:

            ...

            ANSWER

            Answered 2022-Mar-09 at 15:53

            What could be the reason?

            In order to be interoperable with g++, pgc++ (aka nvc++) uses the g++ STL and system header files. Since the location of these headers can vary, on installation a configuration file, "localrc", is created to store these locations.

            What could be happening here is that on install, a single system install was selected and hence the generated localrc is for the system from which the compilers were installed, not the remote system.

            If this is the case, consider re-installing with the "network" option. In this case, the creation of the localrc is delayed until the first compiler invocation with a unique localrc generated for each system.

            Another possibility is that creating of the localrc file failed for some unknown reason. Possibly a permission issue. To check, you can run the 'makelocalrc' utility to see if any errors occurred.

            Note for newer versions of nvc++, we are moving away from using pre-generated config files and instead determining these config items each time the compiler is invoked. The pervious concern being the overhead involved in generating the config, but this has become less of a problem.

            Source https://stackoverflow.com/questions/71406224

            QUESTION

            How can I print out the shortest path by using Spark Graphx
            Asked 2021-Nov-11 at 05:08

            The following code runs well, it print out the shortest path length between two vertexes. But how can I print out the real path or the detail edges (not only the length) between two vertexes?

            ...

            ANSWER

            Answered 2021-Nov-11 at 05:08

            You can use graphFrame.

            Source https://stackoverflow.com/questions/69921816

            QUESTION

            How to consume a python gneerator in parallel using multiprocessing?
            Asked 2021-Feb-21 at 12:44

            How can I improve the performance of the networkx function local_bridges https://networkx.org/documentation/stable//reference/algorithms/generated/networkx.algorithms.bridges.local_bridges.html#networkx.algorithms.bridges.local_bridges

            I have experimented using pypy - but so far am still stuck on consuming the generator on a single core. My graph has 300k edges. An example:

            ...

            ANSWER

            Answered 2021-Feb-21 at 12:44

            You can't consume a generator in parallel, every non-trivial generator's next state is determined by its current state. You have to call next() sequentially.

            From https://github.com/networkx/networkx/blob/master/networkx/algorithms/bridges.py#L162 this is how the function is implemented

            Source https://stackoverflow.com/questions/66291151

            QUESTION

            CuGraph implementation of NetworkX all_pairs_dijkstras
            Asked 2020-Nov-02 at 22:52

            I'm trying to convert a cpu bound algorithm I have to a GPU one, and I'm having all sorts of trouble with cugraph. Some of it is my ignorance, the other part is just the infancy and underdevelopment of cugraph, and the final part is me just sucking at figuring out elegant vectorized approaches.

            Let's say I have m data observations consisting of n features. I create a distance matrix by computing the euclidean distance for all observations from all observations (NOTE: This isn't the part I need help with nor is it meant to be optimal. Just adding this part for easily understood, reproducible code)

            ...

            ANSWER

            Answered 2020-Nov-02 at 22:52

            It looks like the answer to your first question -- initialization of the Euclidian distance matrix -- was answered in Using cupy to create a distance matrix from another matrix on GPU, but you can certainly optimize the creation of the graph and computation of Dijkstra's matrix utilizing cuDF and cuGraph.

            To create the graph efficiently you can construct a cuDF dataframe listing the edges and their weights. This is straightforward due to structure of the Euclidian distance matrix. cuGraph takes in this dataframe as an edge list and returns the graph. Then you can loop over the nodes to compute shortest to applicable vertices. This could later be parallelized or distributed with Dask if the problem size increases.

            The code below is about 40x faster than utilizing nx.all_pairs_dijkstra_path_length for this problem size, it also includes the initial distance computation.

            Source https://stackoverflow.com/questions/64567877

            QUESTION

            Access all fields in mbox using mailbox
            Asked 2020-Sep-05 at 06:12

            I am attempting to perform some processing on email messages in mbox format.

            After searching, and a bit of trial and error tried https://docs.python.org/3/library/mailbox.html#mbox

            I have got this to do most of what I want (even though I had to write code to decode subjects) using the test code listed below.

            I found this somewhat hit and miss, in particular the key needed to look up fields 'subject' seems to be trial and error, and I can't seem to find any way to list the candidates for a message. (I understand that the fields may differ from email to email.)

            Can anyone help me to list the possible values?

            I have another issue; the email may contain a number of "Received:" fields e.g.

            ...

            ANSWER

            Answered 2020-Sep-03 at 07:10

            The email message object provides a get_all method which returns all instances of a header, so we can use this to obtain all the values of the received header.

            Source https://stackoverflow.com/questions/63683097

            QUESTION

            Dijkstra SSSP with blocked path
            Asked 2020-May-01 at 01:16

            I was working on this problem and I decided to use Dijkstra's algorithm to solve it. However, I am unsure of how to account for the blocked path from a to b and how to account for the waiting time of 60 minutes when the path is blocked. Do I need more than one SSSP to solve this problem? How can I approach solving this problem?

            Image credits: National University of Singapore

            My code is as follows:

            ...

            ANSWER

            Answered 2020-May-01 at 01:16

            Okay, so what you need to do is find the shortest path from the airport to the destination, then add 60 to all of the edges in that path, then perform dijkstra's algorithm again starting from your house and going to the office. There's probably a more efficient way to do it in one pass, but that'll get you started.

            Source https://stackoverflow.com/questions/61535065

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

            Vulnerabilities

            No vulnerabilities reported

            Install sssp

            You can download it from GitHub.

            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 .
            Find more information at:

            Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items

            Find more libraries
            CLONE
          • HTTPS

            https://github.com/mesosphere-backup/sssp.git

          • CLI

            gh repo clone mesosphere-backup/sssp

          • sshUrl

            git@github.com:mesosphere-backup/sssp.git

          • Stay Updated

            Subscribe to our newsletter for trending solutions and developer bootcamps

            Agree to Sign up and Terms & Conditions

            Share this Page

            share link

            Consider Popular Job Orchestrator Libraries

            lens

            by lensapp

            bolt

            by puppetlabs

            swan

            by Dataman-Cloud

            kube-cluster-osx

            by TheNewNormal

            Try Top Libraries by mesosphere-backup

            dcos-vagrant

            by mesosphere-backupShell

            deimos

            by mesosphere-backupPython

            cassandra-mesos-deprecated

            by mesosphere-backupJava

            docker-containers

            by mesosphere-backupShell

            dcos-docker

            by mesosphere-backupShell