SandPile | A program for messing around with abelian sandpiles

 by   jeffro256 Java Version: Current License: MIT

kandi X-RAY | SandPile Summary

kandi X-RAY | SandPile Summary

SandPile is a Java library. SandPile has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However SandPile build file is not available. You can download it from GitHub.

A program for messing around with abelian sandpiles
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            kandi-support Support

              SandPile has a low active ecosystem.
              It has 0 star(s) with 1 fork(s). There are 2 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              SandPile has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of SandPile is current.

            kandi-Quality Quality

              SandPile has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              SandPile is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              SandPile releases are not available. You will need to build from source code and install.
              SandPile has no build file. You will be need to create the build yourself to build the component from source.
              It has 914 lines of code, 91 functions and 7 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed SandPile and discovered the below as its top functions. This is intended to give you an instant insight into SandPile implemented functionality, and help decide if they suit your requirements.
            • Main entry point for testing .
            • compute pixel averages
            • Update the grid .
            • Convert a float to a color .
            • Returns a string representation of the grid .
            • Trim off the grid and remove it from the grid table
            • Create a shutdown hook
            • Get a buffered image of the sprite
            • Renders this sprite .
            • Resize the grid
            Get all kandi verified functions for this library.

            SandPile Key Features

            No Key Features are available at this moment for SandPile.

            SandPile Examples and Code Snippets

            No Code Snippets are available at this moment for SandPile.

            Community Discussions

            QUESTION

            Iterating in a python numpy matrix - adding and subtracting to cell elements gone wrong
            Asked 2021-Dec-14 at 08:57

            Input is a numpy matrix and the procedure is to find all entries above 3 in the matrix. When the program has found an entry with a value of 4 or higher, the program must subtract 4 from that matrix position and distribute that 4 - one to the cell above, one to the cell below, one to the cell to the left and one to the cell to the right.

            Input is [ [3,3,3], [3,4,3], [3,3,3] ], and I expect an output of [ [3,4,3], [4,0,4], [3,4,3] ].

            Instead I get [ [3,4,4], [4,2,1], [4,1,1] ]

            The 4 in the middle of the input matrix needs to be taken out and redistributed to the adjacent cell elements of the matrix; one above, one below, one to the left and one to the right. This does not happen. I cannot make sense of it. Anyone, please.

            I added some constraints - so that if an entry in the matrix does have an entry of 4 or larger close to the boundary of the matrix - this will make sure that you add one only to existing entries in the matrix.

            ...

            ANSWER

            Answered 2021-Dec-14 at 07:11

            Here is an implementation using np.where and assuming periodic boundaries. If you want the additions to 'leak' out of the matrix you have to filter out the right, left, top, bottom conditions accordingly.

            Source https://stackoverflow.com/questions/70344838

            QUESTION

            Python - numpy arrays - Abelian sandpile
            Asked 2021-May-22 at 12:01

            I'm trying to do the Abelian sandpile model using a simple numpy array.
            When a 'pile' is 4 >=, then it collapse among its neighbors.
            I understand how the "gravity" thing works, but I can't think of a way of making it.
            Here's the code to make my array :

            ...

            ANSWER

            Answered 2021-May-22 at 12:01

            Use np.divmod to identify where the cells tumble and how much tumbles. Then use array slicing to shift the amounts tumbled and add back into the sandpile.

            Source https://stackoverflow.com/questions/67592323

            QUESTION

            What are the characteristics of an Abelian Sandpiles for a grid 3 x 3?
            Asked 2020-Aug-15 at 13:46

            I have a C project which involves Abelian Sandpiles. The issue is, after a few days of research, I am still struggling to understand the characteristics of a Sandpile.

            Our project instructions are:

            Write a function that computes the sum of two sandpiles

            • A sandpile is considered stable when none of its cells contains more than 3 grains

            • When your function is done, grid1 must be stable

            The function returns void and takes two int parameters int grid1[3][3], int grid2[3][3].

            An example of the expected output is:

            ...

            ANSWER

            Answered 2020-Aug-15 at 13:46

            Just by looking at your grids, I think it works like this:

            If a cell is stable (... <= 3), it does not lose any grains. If it is unstable (... > 3), then it will lose a grain to every stable neighbour cell. The corner cells will, if unstable, always lose 2 grains (they "fall off the board"). Similarly, the cells on the edge will, if unstable, always lose 1 grain (it "falls off the board").

            This algorithm is performed for each cell of the original "input" grid; therefore, the order should not matter.

            Source https://stackoverflow.com/questions/63420373

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

            Vulnerabilities

            No vulnerabilities reported

            Install SandPile

            You can download it from GitHub.
            You can use SandPile like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the SandPile component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .

            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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            https://github.com/jeffro256/SandPile.git

          • CLI

            gh repo clone jeffro256/SandPile

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            git@github.com:jeffro256/SandPile.git

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