8puzzle | 基于Python八数码问题算法

 by   zhijs Python Version: Current License: No License

X-RayKey FeaturesCode SnippetsCommunity Discussions(3)VulnerabilitiesInstallSupport

kandi X-RAY | 8puzzle Summary

kandi X-RAY | 8puzzle Summary

8puzzle is a Python library. 8puzzle has no bugs, it has no vulnerabilities and it has low support. However 8puzzle build file is not available. You can download it from GitHub.

基于Python八数码问题算法(深广度算法，A星算法)
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              8puzzle has a low active ecosystem.
              It has 17 star(s) with 18 fork(s). There are no watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              8puzzle has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of 8puzzle is current.

            kandi-Quality Quality

              8puzzle has no bugs reported.

            kandi-Security Security

              8puzzle has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              8puzzle 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

              8puzzle releases are not available. You will need to build from source code and install.
              8puzzle has no build file. You will be need to create the build yourself to build the component from source.

            Top functions reviewed by kandi - BETA

            kandi has reviewed 8puzzle and discovered the below as its top functions. This is intended to give you an instant insight into 8puzzle implemented functionality, and help decide if they suit your requirements.
            • Search the tree
            • Checks if node is in the given table
            • Returns a copy of the array
            • Visualize the tree
            • Determines if the solution is satisfied
            • Returns the number of revers number in the list
            • Checks if the solution is satisfied
            • Return the number of reverses in the list
            • Check if the candidate has a solution
            • Returns the number of reverses in the list
            Get all kandi verified functions for this library.

            8puzzle Key Features

            No Key Features are available at this moment for 8puzzle.

            8puzzle Examples and Code Snippets

            No Code Snippets are available at this moment for 8puzzle.

            Community Discussions

            Trending Discussions on 8puzzle

            Why are both of the arrays being modified when I copy one array into another?
            what is the difference between Hill climbing and A*?
            About Hamming and Manhattan priorities computation for 8 puzzle

            QUESTION

            Why are both of the arrays being modified when I copy one array into another?
            Asked 2019-Sep-14 at 12:16

            I am trying to solve 8puzzle problem and for that, I need neighboring elements of the current state.

            Current state(or data) looks like this - a 2D array with 0 representing blank state.

            ...

            ANSWER

            Answered 2019-Sep-14 at 12:16

            Use:

            Source https://stackoverflow.com/questions/57935255

            QUESTION

            what is the difference between Hill climbing and A*?
            Asked 2018-Oct-28 at 19:02

            In Artificial intelligence, these algprithms are very popular. I tried looking for methods to solve the 8puzzle problem and it seems like both of them have a similar approach. Can anyone explain what is the difference?

            ...

            ANSWER

            Answered 2018-Oct-28 at 19:02

            Algorithms like weighted A* (Pohl 1970) systematically explore the search space in ’best’ first order. ’Best’ is defined by a node ranking function which typically considers the cost of arriving at a node, g, as well as the estimated cost of reaching a goal from a node, h. Some algorithms, such as A∗ ǫ (Pearl and Kim 1982) also consider the distance of a node from the goal, d. Hill-climbing algorithms are less deliberative; rather than considering all open nodes, they expand the most promising descendant of the most recently expanded node until they encounter a solution.

            Source (page 1, Introduction)

            Source https://stackoverflow.com/questions/53035023

            QUESTION

            About Hamming and Manhattan priorities computation for 8 puzzle
            Asked 2018-Jan-11 at 10:47

            http://coursera.cs.princeton.edu/algs4/assignments/8puzzle.html

            Is this Hamming and Manhattan priorities computation from the above link correct?

            For example, the Hamming and Manhattan priorities of the initial search node below are 5 and 10, respectively.

            Note that we do not count the blank square when computing the Hamming or Manhattan priorities.

            ...

            ANSWER

            Answered 2018-Jan-11 at 10:47

            So, 3 of them are in the places and 5 not in the right places. This gives as 5 as Hamming distance, and some small manipulations needed to see that Manhattan priority is 10.

            Source https://stackoverflow.com/questions/48199527

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

            Vulnerabilities

            No vulnerabilities reported

            Install 8puzzle

            You can download it from GitHub.
            You can use 8puzzle like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

            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:

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