silicon | Create beautiful image of your source code | Learning library

 by   Aloxaf Rust Version: v0.5.1 License: MIT

kandi X-RAY | silicon Summary

kandi X-RAY | silicon Summary

silicon is a Rust library typically used in Tutorial, Learning applications. silicon has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. You can download it from GitHub.

Silicon is an alternative to Carbon implemented in Rust. It can render your source code into a beautiful image.
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            kandi-support Support

              silicon has a medium active ecosystem.
              It has 2615 star(s) with 70 fork(s). There are 14 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 17 open issues and 48 have been closed. On average issues are closed in 89 days. There are 14 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of silicon is v0.5.1

            kandi-Quality Quality

              silicon has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              silicon is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              silicon releases are available to install and integrate.
              Installation instructions are not available. Examples and code snippets are available.
              It has 13 lines of code, 0 functions and 1 files.
              It has low code complexity. Code complexity directly impacts maintainability of the code.

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            silicon Key Features

            No Key Features are available at this moment for silicon.

            silicon Examples and Code Snippets

            No Code Snippets are available at this moment for silicon.

            Community Discussions

            QUESTION

            How do I install the ODBC driver for Snowflake successfully on an M1 Apple Silicon Mac?
            Asked 2022-Mar-30 at 15:00

            I'm having issues getting the ODBC driver for Snowflake to work on an M1 Apple Silicon Mac running Big Sur.

            Successfully following the instructions on Snowflake's website gets me to the point where testing the driver from the command line (using iodbctest) using the DSN results in the following error:

            ...

            ANSWER

            Answered 2021-Sep-21 at 20:50

            Big Sur is macOS v11.n

            Snowflake supports macOS 10.14 and 10.15 Supported OSs

            So what you are trying to do is not supported and is unlikely to work

            Source https://stackoverflow.com/questions/69275130

            QUESTION

            Python module not found in Nix-generated Python environment
            Asked 2022-Mar-29 at 15:46

            I need my user environment configured with Python and the beancount module available. The way I'm currently doing this is to add this package to home.packages (I am using home-manager):

            ...

            ANSWER

            Answered 2022-Mar-29 at 15:46

            QUESTION

            Why Python native on M1 Max is greatly slower than Python on old Intel i5?
            Asked 2022-Mar-29 at 03:35

            I just got my new MacBook Pro with M1 Max chip and am setting up Python. I've tried several combinational settings to test speed - now I'm quite confused. First put my questions here:

            • Why python run natively on M1 Max is greatly (~100%) slower than on my old MacBook Pro 2016 with Intel i5?
            • On M1 Max, why there isn't significant speed difference between native run (by miniforge) and run via Rosetta (by anaconda) - which is supposed to be slower ~20%?
            • On M1 Max and native run, why there isn't significant speed difference between conda installed Numpy and TensorFlow installed Numpy - which is supposed to be faster?
            • On M1 Max, why run in PyCharm IDE is constantly slower ~20% than run from terminal, which doesn't happen on my old Intel Mac.

            Evidence supporting my questions is as follows:

            Here are the settings I've tried:

            1. Python installed by

            • Miniforge-arm64, so that python is natively run on M1 Max Chip. (Check from Activity Monitor, Kind of python process is Apple).
            • Anaconda. Then python is run via Rosseta. (Check from Activity Monitor, Kind of python process is Intel).

            2. Numpy installed by

            • conda install numpy: numpy from original conda-forge channel, or pre-installed with anaconda.
            • Apple-TensorFlow: with python installed by miniforge, I directly install tensorflow, and numpy will also be installed. It's said that, numpy installed in this way is optimized for Apple M1 and will be faster. Here is the installation commands:
            ...

            ANSWER

            Answered 2021-Dec-06 at 05:53
            Possible Cause: Different BLAS Libraries

            Since the benchmark is running linear algebra routines, what is likely being tested here are the BLAS implementations. A default Anaconda distribution for osx-64 platform is going to come with Intel's MKL implementation; the osx-arm64 platform only has the generic Netlib BLAS and the OpenBLAS implementation options.

            For me (MacOS w/ Intel i9), I get the following benchmark results:

            BLAS Implmentation Mean Timing (s) mkl 0.95932 blis 1.72059 openblas 2.17023 netlib 5.72782

            So, I suspect the old MBP had MKL installed, and the M1 system is installing either Netlib or OpenBLAS. Maybe try figuring out whether Netlib or OpenBLAS are faster on M1, and keep the faster one.

            Specifying BLAS Implementation

            Here are specifically the different environments I tested:

            Source https://stackoverflow.com/questions/70240506

            QUESTION

            Testcontainers with Podman in Java tests
            Asked 2022-Mar-28 at 17:00

            Is it possible to use Testcontainers with Podman in Java tests? As of March 2022 Testcontainers library doesn't detect an installed Podman as a valid Docker environment.

            Can Podman be a Docker replacement on both MacOS with Apple silicon (local development environment) and Linux x86_64 (CI/CD environment)?

            ...

            ANSWER

            Answered 2022-Mar-28 at 17:00

            It is possible to use Podman with Testcontainers in Java projects, that use Gradle on Linux and MacOS (both x86_64 and Apple silicon).

            Prerequisites Enable the Podman service

            Testcontainers library communicates with Podman using socket file.

            Linux

            Start Podman service for a regular user (rootless) and make it listen to a socket:

            Source https://stackoverflow.com/questions/71549856

            QUESTION

            org.jetbrains.skiko.LibraryLoadException: Cannot find libskiko-macos-arm64.dylib.sha256, proper native dependency missing
            Asked 2022-Mar-25 at 07:49

            I try to compile https://github.com/CuriousNikhil/k5-compose in IntelliJ (Apple-Silicon) on an M1 MacbookPro, I got the below error

            ...

            ANSWER

            Answered 2021-Nov-29 at 06:20

            In the build.gradle.kts of the project, change implementation(compose.desktop.currentOs) to implementation(compose.desktop.macos_arm64)

            Source https://stackoverflow.com/questions/70150052

            QUESTION

            Building Docker image from spring maven project for arm64 platform
            Asked 2022-Mar-24 at 00:10

            I'm in a Spring course, and I have a maven application (downloaded from the course resources) built from spring initializr. I can build a local Docker image with mvn spring-boot:build-image (no Dockerfile in the project). By default a Docker image is built as linux/amd64, but I am working with a M1 Apple Silicon chip (arm64). I've been looking many workarounds but with no success. Lastly, I found that maybe adding a Dockerfile and specifying the platform it would build the image accordingly.

            My goal is to build a docker image for arm64 architecture.

            So, I created a Dockerfile:

            ...

            ANSWER

            Answered 2022-Mar-24 at 00:10

            Building an ARM-based image is not currently possible with mvn spring-boot:build-image, because the Cloud Native Buildpacks builders that Spring Boot integrates with do not support this. This is one of the possible items of focus on the Paketo buildpacks 2022 roadmap, which you can cast votes for.

            CNB documents a work-around for this, but it's not simple to set up and run.

            RUN mvn -f /home/path_to_app/pom.xml spring-boot:build-image -DskipTests

            You would need Docker-in-Docker to make something like this work, since the CNB builder processes that would run inside the Docker container need to talk to the Docker daemon. Regardless, this would not allow you to build an ARM image for the reasons stated above.

            Source https://stackoverflow.com/questions/71581008

            QUESTION

            Cannot install python 3.10.0 on m1 Apple silicon - ld: symbol(s) not found for architecture x86_64
            Asked 2022-Mar-10 at 21:01

            I am trying to get python 3.10.0 installed on my Apple M1 Silicon.

            Installing via asdf venv manager. 3.7.9 and 3.9.4 work without any issues but installing 3.10.0 causes the following error:

            ...

            ANSWER

            Answered 2022-Mar-10 at 21:01
            1. First install gettext:

            Source https://stackoverflow.com/questions/70152525

            QUESTION

            BUG! exception in phase 'semantic analysis' in source unit '_BuildScript_' Unsupported class file major version 61 on Apple Arm
            Asked 2022-Feb-20 at 02:41

            I have installed Android Studio Canary 2020.3.1.22 and trying to run Flutter project on Apple Silicon(ARM) Mac. Unfortunately, it is giving me this error when I try to run default flutter counter app.

            Here is the error I am getting:

            ...

            ANSWER

            Answered 2022-Jan-03 at 06:03

            Basically, I installed jdk using brew install java which was not compatible with my current gradle I guess. So

            1. I uninstalled java first using: brew uninstall java
            2. installed JDK 8 or JDK 11 from azul.
            3. Installed gradle: gradle-6.9-all.zip

            When done, everything worked smoothly.

            Source https://stackoverflow.com/questions/68597899

            QUESTION

            How to install the Bumblebee 2021.1.1 Android Studio Patch?
            Asked 2022-Feb-10 at 19:28

            When I open Android Studio I receive a notification saying that an update is available:

            ...

            ANSWER

            Answered 2022-Feb-10 at 11:09

            This issue was fixed by Google (10 February 2022).

            You can now update Android Studio normally.

            Thank you all for helping to bring this problem to Google's attention.

            Source https://stackoverflow.com/questions/71006400

            QUESTION

            What is the correct way to install Android Studio Bumblebee 2021.1.1 Patch 1
            Asked 2022-Feb-10 at 11:10

            I am sorry but I am really confused and leery now, so I am resorting to SO to get some clarity.

            I am running Android Studio Bumblebee and saw a notification about a major new release wit the following text:

            ...

            ANSWER

            Answered 2022-Feb-10 at 11:10

            This issue was fixed by Google (10 February 2022).

            You can now update Android Studio normally.

            Source https://stackoverflow.com/questions/70999801

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

            Vulnerabilities

            No vulnerabilities reported

            Install silicon

            You can download it from GitHub.
            Rust is installed and managed by the rustup tool. Rust has a 6-week rapid release process and supports a great number of platforms, so there are many builds of Rust available at any time. Please refer rust-lang.org for more information.

            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/Aloxaf/silicon.git

          • CLI

            gh repo clone Aloxaf/silicon

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            git@github.com:Aloxaf/silicon.git

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