Merkle-Patricia-Tree | Course Project

 by   sergeyfrolov Python Version: Current License: Apache-2.0

kandi X-RAY | Merkle-Patricia-Tree Summary

kandi X-RAY | Merkle-Patricia-Tree Summary

Merkle-Patricia-Tree is a Python library. Merkle-Patricia-Tree has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However Merkle-Patricia-Tree build file is not available. You can download it from GitHub.

Merkle Patricia Tree implementation. Course Project. Uses pickle, instead of rlp for serialization.
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            kandi-support Support

              Merkle-Patricia-Tree has a low active ecosystem.
              It has 10 star(s) with 1 fork(s). There are 2 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 1 open issues and 0 have been closed. On average issues are closed in 923 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of Merkle-Patricia-Tree is current.

            kandi-Quality Quality

              Merkle-Patricia-Tree has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              Merkle-Patricia-Tree 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

              Merkle-Patricia-Tree releases are not available. You will need to build from source code and install.
              Merkle-Patricia-Tree 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 Merkle-Patricia-Tree and discovered the below as its top functions. This is intended to give you an instant insight into Merkle-Patricia-Tree implemented functionality, and help decide if they suit your requirements.
            • Insert value into the tree .
            • Remove a node from the tree .
            • Prints out the status of the branch .
            • Initialize the database .
            • Convert a nibblearray to a binary string .
            • Convert a nibble array to binary string .
            • Convert a hexdigest value to a nib list .
            • Return the index of a branch node .
            • Set a branch value
            • Convert binary string to nib list .
            Get all kandi verified functions for this library.

            Merkle-Patricia-Tree Key Features

            No Key Features are available at this moment for Merkle-Patricia-Tree.

            Merkle-Patricia-Tree Examples and Code Snippets

            No Code Snippets are available at this moment for Merkle-Patricia-Tree.

            Community Discussions

            No Community Discussions are available at this moment for Merkle-Patricia-Tree.Refer to stack overflow page for discussions.

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

            Vulnerabilities

            No vulnerabilities reported

            Install Merkle-Patricia-Tree

            You can download it from GitHub.
            You can use Merkle-Patricia-Tree 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 .
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            CLONE
          • HTTPS

            https://github.com/sergeyfrolov/Merkle-Patricia-Tree.git

          • CLI

            gh repo clone sergeyfrolov/Merkle-Patricia-Tree

          • sshUrl

            git@github.com:sergeyfrolov/Merkle-Patricia-Tree.git

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