gawky | A tiny and simple console tool for pull requests | Command Line Interface library

by abstractj Ruby Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | gawky Summary

gawky is a Ruby library typically used in Utilities, Command Line Interface, Nodejs applications. gawky has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

A tiny and simple console tool for pull requests.

Support

Quality

Security

License

Reuse

Support

gawky has a low active ecosystem.

It has 3 star(s) with 2 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 6 have been closed. On average issues are closed in 685 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of gawky is current.

Quality

gawky has 0 bugs and 0 code smells.

Security

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

gawky code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

gawky 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

gawky releases are not available. You will need to build from source code and install.

Installation instructions, examples and code snippets are available.

It has 80 lines of code, 9 functions and 4 files.

It has medium code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi's functional review helps you automatically verify the functionalities of the libraries and avoid rework.
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of gawky

Get all kandi verified functions for this library.

gawky Key Features

No Key Features are available at this moment for gawky.

gawky Examples and Code Snippets

No Code Snippets are available at this moment for gawky.

Community Discussions

Trending Discussions on gawky

equally spaced "histogram" in Matlab

Area of a closed contour on a plot using python openCV

QUESTION

equally spaced "histogram" in Matlab

Asked 2021-Aug-29 at 22:20

I have a number vector, let's say v=[1 1 1 1000 20 20]; I want to build very simple histogram-like plot where y-axis will be counts ( 3,1,2 in this case), but the x-axis will be 1,20,1000 equally spaced. Meaning that Matlab will ignore the fact that 1000>>20 and space them as it will 1,2,3 in the plot. I will show that I mean. I can do it by:

...

ANSWER

Answered 2021-Aug-29 at 22:20

first convert X to categorical matrix convert to categorical then histogramplot X with these categories: plot categorial histogram

in case of your problem:

Source https://stackoverflow.com/questions/68805416

QUESTION

Area of a closed contour on a plot using python openCV

Asked 2021-Jan-17 at 00:57

I am attempting to find the area inside an arbitrarily-shaped closed curve plotted in python (example image below). So far, I have tried to use both the alphashape and polygon methods to acheive this, but both have failed. I am now attempting to use OpenCV and the floodfill method to count the number of pixels inside the curve and then I will later convert that to an area given the area that a single pixel encloses on the plot. Example image: testplot.jpg

In order to do this, I am doing the following, which I adapted from another post about OpenCV.

...

ANSWER

Answered 2021-Jan-16 at 01:42

The problem is your opening operation at the end. This morphological operation includes a dilation at the end that expands the white contour, increasing its area. Let’s try a different approach where no morphology is involved. These are the steps:

Convert your image to grayscale
Apply Otsu’s thresholding to get a binary image, let’s work with black and white pixels only.
Apply a first flood-fill operation at image location (0,0) to get rid of the outer white space.
Filter small blobs using an area filter
Find the “Curve Canvas” (The white space that encloses the curve) and locate and store its starting point at (targetX, targetY)
Apply a second flood-fill al location (targetX, targetY)
Get the area of the isolated blob with cv2.countNonZero

Let’s take a look at the code:

Source https://stackoverflow.com/questions/65744862

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

Vulnerabilities

No vulnerabilities reported

Install gawky

Or if you want the latest changes. Copy the sample.json file to gawky.json at your HOME directory.

Support

Fork it ( https://github.com/[my-github-username]/gawky/fork )Create your feature branch (git checkout -b my-new-feature)Add unit tests, because the project doesn't have it. Yeah, bring me a torch.Commit your changes (git commit -am 'Add some feature')Push to the branch (git push origin my-new-feature)Create a new Pull Request

Find more information at: