llcc | Low-Level C Compiler | Compiler library

 by   llvmpy Python Version: Current License: No License

kandi X-RAY | llcc Summary

kandi X-RAY | llcc Summary

llcc is a Python library typically used in Utilities, Compiler applications. llcc has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

A llvmpy extension for building C ABI comformant LLVM IR.
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            kandi-support Support

              llcc has a low active ecosystem.
              It has 4 star(s) with 0 fork(s). There are 5 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              llcc has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of llcc is current.

            kandi-Quality Quality

              llcc has no bugs reported.

            kandi-Security Security

              llcc has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              llcc 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

              llcc releases are not available. You will need to build from source code and install.
              Build file is available. You can build the component from source.

            Top functions reviewed by kandi - BETA

            kandi has reviewed llcc and discovered the below as its top functions. This is intended to give you an instant insight into llcc implemented functionality, and help decide if they suit your requirements.
            • Compute the result of a function
            • Try to classify the item
            • Classifier for a given type
            • Classify an argument type
            • Computes the class info for fnty
            • Run tests
            Get all kandi verified functions for this library.

            llcc Key Features

            No Key Features are available at this moment for llcc.

            llcc Examples and Code Snippets

            No Code Snippets are available at this moment for llcc.

            Community Discussions

            QUESTION

            Elegant regex using pandas - extract dose info
            Asked 2021-Mar-31 at 07:18

            I have a data frame like as shown below

            ...

            ANSWER

            Answered 2021-Mar-31 at 07:18

            QUESTION

            Image Load using two different type bitmap and picasso
            Asked 2017-Oct-11 at 05:23

            Wanted to load my camera intent images like this

            Bitmapbitmap=BitmapFactory.decodeFile(s.getImageUrl()); vh.imageView.setImageBitmap(bitmap);

            And my gallery intent images like this:

            ...

            ANSWER

            Answered 2017-Oct-11 at 05:23

            You could initialise the image to image view with respective procedure before calling the saveimagevideoData function in "onSelectFromGalleryResult" and "onCaptureImageResult"

            If in adapter: Add a flag along with data String in saveimagevideoData function. Detect the flag and assign the image respectively to imageView

            Source https://stackoverflow.com/questions/46665037

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

            Vulnerabilities

            No vulnerabilities reported

            Install llcc

            You can download it from GitHub.
            You can use llcc 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/llvmpy/llcc.git

          • CLI

            gh repo clone llvmpy/llcc

          • sshUrl

            git@github.com:llvmpy/llcc.git

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