dep-check | Dependency checker project | Code Analyzer library

by lumapps Python Version: 3.0.1 License: MIT

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | dep-check Summary

dep-check is a Python library typically used in Code Quality, Code Analyzer applications. dep-check has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install dep-check' or download it from GitHub, PyPI.

Dependency checker project

Support

Quality

Security

License

Reuse

Support

dep-check has a low active ecosystem.

It has 11 star(s) with 4 fork(s). There are 11 watchers for this library.

It had no major release in the last 12 months.

There are 0 open issues and 2 have been closed. On average issues are closed in 305 days. There are 3 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of dep-check is 3.0.1

Quality

dep-check has 0 bugs and 0 code smells.

Security

dep-check has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

dep-check code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

dep-check 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

dep-check releases are available to install and integrate.

Deployable package is available in PyPI.

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

Installation instructions, examples and code snippets are available.

It has 1817 lines of code, 114 functions and 30 files.

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

Top functions reviewed by kandi - BETA

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

Create a CheckDependenciesU
Returns an iterator over source files
Change the current working directory
Returns a module from a file path
Write dependency graph to svg file
Iterate over all imported modules
Iterate over all layer modules
Write the graph to the graph
Print report
Prints the error message
Print warning message about unused rules
Find the dependencies of the source file
Visit the imports
Run tests
Create application configuration
Create a draw graph
Read graph configuration file
Find Import from source_file
Store dependencies
Create a build case

Get all kandi verified functions for this library.

dep-check Key Features

No Key Features are available at this moment for dep-check.

dep-check Examples and Code Snippets

No Code Snippets are available at this moment for dep-check.

Community Discussions

Trending Discussions on dep-check

Is there a way to grab pants code coverage results?

QUESTION

Is there a way to grab pants code coverage results?

Asked 2019-Apr-08 at 10:50

I want to look at the results of code coverage in a script that then decides whether it is ok for the user to proceed. Does pants have this functionality? Is there any way to do this other than piping it into an external file and parsing?

Right now it prints everything to stdout, which isn't the best for what I'm trying to do. On top of that, when I do pipe to another file, I don't get the actual code coverage, just the compilation pants does up the it, like so

...

ANSWER

Answered 2019-Apr-08 at 10:50

For anyone who comes across this issue later, I found out that pants stores an html file of all the code coverage which was easy enough to parse.

Source https://stackoverflow.com/questions/55479805

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

Vulnerabilities

No vulnerabilities reported

Install dep-check

To install dep-check, run this command:. This is the preferred method to install dep-check, as it always installs the most recent stable release. If you don't have pip installed, this Python installation guide can guide you through the process. You can also see other installation methods.
The project root directory, containing the source files. The output file (yaml format). The language the project is written in. This command lists the imports of each module in a yaml file. Use this file as a starting point to write dependency rules on which module can import what, using wildcards.
Use * to include any string, even an empty one.
Use % after a module name (e.g. my_module%) to include this module along with its sub-modules.