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

by Aloxaf Rust Version: v0.5.1 License: MIT

X-Ray Key Features Code Snippets Community Discussions(10)Vulnerabilities Install Support

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.

Support

Quality

Security

License

Reuse

Support

silicon has a medium active ecosystem.

It has 2615 star(s) with 70 fork(s). There are 14 watchers for this library.

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

Quality

silicon has 0 bugs and 0 code smells.

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.

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.

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

Trending Discussions on silicon

How do I install the ODBC driver for Snowflake successfully on an M1 Apple Silicon Mac?

Python module not found in Nix-generated Python environment

Why Python native on M1 Max is greatly slower than Python on old Intel i5?

Testcontainers with Podman in Java tests

org.jetbrains.skiko.LibraryLoadException: Cannot find libskiko-macos-arm64.dylib.sha256, proper native dependency missing

Building Docker image from spring maven project for arm64 platform

Cannot install python 3.10.0 on m1 Apple silicon - ld: symbol(s) not found for architecture x86_64

BUG! exception in phase 'semantic analysis' in source unit '_BuildScript_' Unsupported class file major version 61 on Apple Arm

How to install the Bumblebee 2021.1.1 Android Studio Patch?

What is the correct way to install Android Studio Bumblebee 2021.1.1 Patch 1

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

Please take a look at https://github.com/NixOS/nixpkgs/blob/master/doc/languages-frameworks/python.section.md#overriding-python-packages-overriding-python-packages on how to overwrite python packages.

Example overlay from my that I used a while back:

Source https://stackoverflow.com/questions/71502756

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

Podman Machine and Remote Client are installed on MacOS - https://podman.io/getting-started/installation#macos
Podman is installed on Linux - https://podman.io/getting-started/installation#linux-distributions

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

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

I uninstalled java first using: brew uninstall java
installed JDK 8 or JDK 11 from azul.
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.

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