Darkstar | A Xerox Star 8010 Emulator | Machine Learning library

 by   livingcomputermuseum C# Version: v1.1 License: BSD-2-Clause

kandi X-RAY | Darkstar Summary

kandi X-RAY | Darkstar Summary

Darkstar is a C# library typically used in Artificial Intelligence, Machine Learning, Tensorflow applications. Darkstar has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

Darkstar provides emulation of the Xerox Dandelion workstation, commonly known as the Star, 8010, or 1108. To avoid confusion in the rest of this document, the name "Star" will be used to refer to any of the above machines.
Support
    Quality
      Security
        License
          Reuse

            kandi-support Support

              Darkstar has a low active ecosystem.
              It has 143 star(s) with 12 fork(s). There are 9 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 7 open issues and 8 have been closed. On average issues are closed in 20 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of Darkstar is v1.1

            kandi-Quality Quality

              Darkstar has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              Darkstar is licensed under the BSD-2-Clause License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              Darkstar releases are available to install and integrate.
              Installation instructions, examples and code snippets are available.

            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 Darkstar
            Get all kandi verified functions for this library.

            Darkstar Key Features

            No Key Features are available at this moment for Darkstar.

            Darkstar Examples and Code Snippets

            No Code Snippets are available at this moment for Darkstar.

            Community Discussions

            QUESTION

            What is wrong with my breadth first search algorithm, it crashes with a segmentation fault?
            Asked 2021-May-24 at 19:07

            When I run my code it throws a segmentation fault and I have tried rewriting the code several times. Still to no avail, it won't even run. The segmentation fault happens as soon as my program is launched. What it's supposed to do is print a path on screen using the ncurses library in Linux, from the given coordinates. Here is the problematic snippet with the lines where gdb said the segmentation fault was, also it (snippet) reproduces the problem.

            EDIT: This will help explain what I'm trying to do, but using dynamic arrays. Breadth First Search

            EDIT 2: The variable frontier is supposed to keep track of the X and Y values at a specific index. The add_neighbors function is there to add all four neighbors (providing they aren't already added) to the frontier and came_from arrays.

            frontier[index][0] is X value.
            frontier[index][1] is Y value.

            The before the first while loop I set the start position x1 and y1. During the first while loop, it increments getting the new coordinates from the frontier, then processing and adding to came_from array.

            For example:
            (x1,y1) (x1+1,y1)
            (x1,y1+1) (x1+1,y1+1)
            (x1,y2) (x2,y2)

            I'm trying to get from (x1,y1) to (x2,y2). Sure hope that explains it better. What I'm trying to implement is a Breadth First Search (BFS) algorithm. Using two arrays, one is frontier (keeps track of visited positions) and came_from (keeps track of X and Y the path from x1,y1 to x2,y2). Updated the code to reflect the first answer. Plus added a comment to explain where the error might be, not really sure but I've been debugging it. It looks like the came_from array never gets set with x and y.

            The Code:

            ...

            ANSWER

            Answered 2021-May-23 at 17:26

            Some of the allocation sizes are incorrect:

            • frontier = malloc(sizeof(frontier) * MAXHEIGHT * MAXWIDTH); should be

            Source https://stackoverflow.com/questions/67655818

            QUESTION

            MLT query video_codecs not listing libx264
            Asked 2020-Jul-07 at 11:21

            Querying video codecs does not list libx264 as an available codec

            ...

            ANSWER

            Answered 2020-Jun-30 at 17:47

            libx264 is not a codec, its an encoder implementation of a codec. use ffmpeg -encoders | grep 264

            Source https://stackoverflow.com/questions/62658776

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

            Vulnerabilities

            No vulnerabilities reported

            Install Darkstar

            Installation of Darkstar on Windows is simple: Double-click the installer file, named "DarkstarSetup.msi" and follow the on-screen instructions. The installer will install all of the necessary files and create two icons on your Start menu, one for Darkstar itself, and one for its documentation (the file you’re reading now!). On Unix platforms, extract the Darkstar-mono.zip archive in a directory of your choosing.

            Support

            Darkstar does not come with any media. Bitsavers has floppy disk sets for ViewPoint, XDE, and Interlisp-D at:. These can be used to bootstrap a fresh installation onto a virtual hard disk. Note that at this time, only floppy disk images in ImageDisk format (.IMD) are supported by Darkstar.
            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/livingcomputermuseum/Darkstar.git

          • CLI

            gh repo clone livingcomputermuseum/Darkstar

          • sshUrl

            git@github.com:livingcomputermuseum/Darkstar.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 Machine Learning Libraries

            tensorflow

            by tensorflow

            youtube-dl

            by ytdl-org

            models

            by tensorflow

            pytorch

            by pytorch

            keras

            by keras-team

            Try Top Libraries by livingcomputermuseum

            ContrAlto

            by livingcomputermuseumC#

            IFS

            by livingcomputermuseumC#

            sImlac

            by livingcomputermuseumC#

            DumpDectape

            by livingcomputermuseumC#

            MBS

            by livingcomputermuseumC++