df_misc | miscellanous stuff related to dwarf fortress hacking

 by   DFHack Java Version: Current License: No License

kandi X-RAY | df_misc Summary

kandi X-RAY | df_misc Summary

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

miscellanous stuff related to dwarf fortress hacking
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            kandi-support Support

              df_misc has a low active ecosystem.
              It has 15 star(s) with 12 fork(s). There are 10 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 5 open issues and 3 have been closed. On average issues are closed in 8 days. There are 1 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of df_misc is current.

            kandi-Quality Quality

              df_misc has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              df_misc 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

              df_misc releases are not available. You will need to build from source code and install.
              df_misc has no build file. You will be need to create the build yourself to build the component from source.
              df_misc saves you 2420 person hours of effort in developing the same functionality from scratch.
              It has 5273 lines of code, 224 functions and 27 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed df_misc and discovered the below as its top functions. This is intended to give you an instant insight into df_misc implemented functionality, and help decide if they suit your requirements.
            • Decompile the virtual tables
            • Find all functions that contain the given addresses
            • Fix error messages
            • Locate a list of vtable assignment instructions
            • Runs the analysis
            • Creates the standard data types
            • Generate the global variable table
            • Read XML file
            • Starts the decompiler
            • Decompile a function
            • Runs the program
            Get all kandi verified functions for this library.

            df_misc Key Features

            No Key Features are available at this moment for df_misc.

            df_misc Examples and Code Snippets

            No Code Snippets are available at this moment for df_misc.

            Community Discussions

            No Community Discussions are available at this moment for df_misc.Refer to stack overflow page for discussions.

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

            Vulnerabilities

            No vulnerabilities reported

            Install df_misc

            You can download it from GitHub.
            You can use df_misc 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 df_misc 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 .
            Find more information at:

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            CLONE
          • HTTPS

            https://github.com/DFHack/df_misc.git

          • CLI

            gh repo clone DFHack/df_misc

          • sshUrl

            git@github.com:DFHack/df_misc.git

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