OGit | github client for Android , and needs lots | Frontend Framework library

by StormPhoenix Java Version: 0.1 License: No License

X-Ray Key Features Code Snippets Community Discussions(3)Vulnerabilities Install Support

kandi X-RAY | OGit Summary

OGit is a Java library typically used in User Interface, Frontend Framework, Bootstrap applications. OGit has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

OGit started off as a fork of the personal Android app from WeGit, and has since seen lots of improvements. You can see a comprehensive list of changes in the change log. Please see the [issues][1] section to report any bugs or feature requests and to see the list of known issues.

Support

Quality

Security

License

Reuse

Support

OGit has a low active ecosystem.

It has 6 star(s) with 5 fork(s). There are 1 watchers for this library.

It had no major release in the last 12 months.

There are 4 open issues and 0 have been closed. On average issues are closed in 1181 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of OGit is 0.1

Quality

OGit has no bugs reported.

Security

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

License

OGit does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

OGit releases are available to install and integrate.

Build file is available. You can build the component from source.

Top functions reviewed by kandi - BETA

kandi has reviewed OGit and discovered the below as its top functions. This is intended to give you an instant insight into OGit implemented functionality, and help decide if they suit your requirements.

Parse a path
Advances to the next token
Consumes a point
Reads a float value
Region Override
Draw the title button
Initialize the child view
Initialize properties of a CircleView
Update information about the commit
Updates the views for a given line
Get a drawable for a given source
Add a new breadcrumb to the toolbar
Create a FragmentsAdapter
Create the fragments adapter for the organization
Save an input stream to a file
Clear view
Get JSON Retrofit with Token
Helper method to set the overview
Renders SVG to a bitmap
Create view adapter
Deserialize json event
Load new list items
Load new bread crumb
Get the value associated with the given key
Create options menu
Called when a navigation item is selected

Get all kandi verified functions for this library.

OGit Key Features

No Key Features are available at this moment for OGit.

OGit Examples and Code Snippets

No Code Snippets are available at this moment for OGit.

Community Discussions

Trending Discussions on OGit

Tensorflow with batch size and wrong dimesion

Git not working in NanoServer (in Docker)

Incompatible shapes for Accuracy when fitting tensorflow2 model

QUESTION

Tensorflow with batch size and wrong dimesion

Asked 2020-Nov-19 at 12:36

Here are my code:

...

ANSWER

Answered 2020-Nov-19 at 12:36

The issue is with the weights, Bias, input_x and input_y placeholder size.

Below is the modified code that should resolve your issue.

Source https://stackoverflow.com/questions/64846657

QUESTION

Git not working in NanoServer (in Docker)

Asked 2020-Apr-03 at 19:41

I need to install Git in Nano Server. During my research I saw that Nano Server can't work with MSI files and that's why that I thought I can easily download it in another container (Windows Server Core in my situation) and move the contents of Git to the other container (the Nano Server container) (Idea is from here: https://stefanscherer.github.io/how-to-build-nodejs-nanoserver-image/). I tried with the following dockerfile:

...

ANSWER

Answered 2020-Apr-03 at 04:42

First, you don't have to run the GIt for Windows setup.

You could also try and uncompress the Portable extractable archive PortableGit-2.26.0-64-bit.7z.exe anywhere you want in the image, and then add to the path:

Source https://stackoverflow.com/questions/61000950

QUESTION

Incompatible shapes for Accuracy when fitting tensorflow2 model

Asked 2019-Apr-28 at 02:09

I am running a text generation model (RNN) on Tensorfow 2.0.0-alpha0 and even though I get the loss metric when fitting the model, I get the following error when inserting accuracy:

InvalidArgumentError: Incompatible shapes: [64] vs. [64,200]
[[{{node metrics_4/accuracy/Equal}}]] [Op:__inference_keras_scratch_graph_6491]

I tried to manually define accuracy on a single batch (pre-training):

...

ANSWER

Answered 2019-Apr-28 at 02:09

accuracy isn't a standard argument of Model.fit - it will be accepted under **kwargs which will then be passed to session.run in graph mode. Try metrics=[accuracy].

Source https://stackoverflow.com/questions/55885331

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

Vulnerabilities

No vulnerabilities reported

Install OGit

You can download it from GitHub.
You can use OGit 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 OGit 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: