BinarySearchTrees | Java binary search trees implementations and tests : AVL Tree | Dataset library

 by   ignl Java Version: Current License: Apache-2.0

kandi X-RAY | BinarySearchTrees Summary

kandi X-RAY | BinarySearchTrees Summary

BinarySearchTrees is a Java library typically used in Artificial Intelligence, Dataset applications. BinarySearchTrees has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However BinarySearchTrees build file is not available. You can download it from GitHub.

Java binary search trees implementations and tests: AVL Tree, Red black tree, Scapegoat tree, Splay tree, Treap. Blog post and benchmarks: To run benchmarks: cd Trees mvn clean install java -jar target/benchmarks.jar.
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              BinarySearchTrees has a low active ecosystem.
              It has 116 star(s) with 45 fork(s). There are 8 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 1 open issues and 3 have been closed. On average issues are closed in 581 days. There are 1 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of BinarySearchTrees is current.

            kandi-Quality Quality

              BinarySearchTrees has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              BinarySearchTrees is licensed under the Apache-2.0 License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              BinarySearchTrees releases are not available. You will need to build from source code and install.
              BinarySearchTrees has no build file. You will be need to create the build yourself to build the component from source.
              BinarySearchTrees saves you 1207 person hours of effort in developing the same functionality from scratch.
              It has 2720 lines of code, 206 functions and 37 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed BinarySearchTrees and discovered the below as its top functions. This is intended to give you an instant insight into BinarySearchTrees implemented functionality, and help decide if they suit your requirements.
            • Performs a delete by deleting the provided node
            • Restore red - black - black tree
            • Rotate the left node
            • Rotate right
            • Finds the victim elimination tree from 0 to 1
            • Rebuilds unbalanced subtree
            • Inserts an element
            • Main method
            • Recursively print the tree
            • Step 1
            • Time delete AVL tree
            • Removes an element from the heap
            • Sets up the test tree
            • Sets up the tree
            • Search for a random TreeSearch algorithm
            • Search for a random subtree in a random tree
            • Perform a random search algorithm
            • Time search function
            • Performs a random search
            • Time search tree
            • Time - delete red black tree
            • Computes a JDK tree set
            • Time deDelete
            • Time stamp tree
            • Computes the victim deletion tree for survival code
            • This method is used to measure the time difference between two random objects
            Get all kandi verified functions for this library.

            BinarySearchTrees Key Features

            No Key Features are available at this moment for BinarySearchTrees.

            BinarySearchTrees Examples and Code Snippets

            No Code Snippets are available at this moment for BinarySearchTrees.

            Community Discussions

            Trending Discussions on BinarySearchTrees

            QUESTION

            Cannot Delete the root node in a Binary search Tree
            Asked 2018-Feb-09 at 20:31

            I have recently started learning and Implementing some data structures in Python and was trying Binary Search tree and completed the code. Everything is running fine except the deletion of root node. I have divided my code into 3 modules

            Here is my Code :

            Node.py

            ...

            ANSWER

            Answered 2018-Feb-09 at 20:31

            Both instances of if data < self.data: should be : if data is not None and (data < self.data):

            This will short circuit the check when data is not None

            Source https://stackoverflow.com/questions/48713545

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

            Vulnerabilities

            No vulnerabilities reported

            Install BinarySearchTrees

            You can download it from GitHub.
            You can use BinarySearchTrees 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 BinarySearchTrees 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/ignl/BinarySearchTrees.git

          • CLI

            gh repo clone ignl/BinarySearchTrees

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            git@github.com:ignl/BinarySearchTrees.git

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