dgc-testdata | Repository storing generated QR code data

by eu-digital-green-certificates Python Version: Current License: Apache-2.0

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

kandi X-RAY | dgc-testdata Summary

dgc-testdata is a Python library. dgc-testdata has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However dgc-testdata build file is not available. You can download it from GitHub.

To automate the generation and validation tests of COSE/CBOR Codes and its base45/2D Code representations, a lot of data has to be collected to ensure the variance of the tests. This repository was established to collect a lot of different test data and related test cases of different member states in a standardized manner. Each member state can generate a folder in this section.

Support

Quality

Security

License

Reuse

Support

dgc-testdata has a low active ecosystem.

It has 103 star(s) with 90 fork(s). There are 21 watchers for this library.

It had no major release in the last 6 months.

There are 37 open issues and 109 have been closed. On average issues are closed in 10 days. There are 3 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of dgc-testdata is current.

Quality

dgc-testdata has 0 bugs and 17 code smells.

Security

dgc-testdata has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

dgc-testdata code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

dgc-testdata is licensed under the Apache-2.0 License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

dgc-testdata releases are not available. You will need to build from source code and install.

dgc-testdata has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions are not available. Examples and code snippets are available.

It has 428 lines of code, 24 functions and 2 files.

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

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dgc-testdata Key Features

No Key Features are available at this moment for dgc-testdata.

dgc-testdata Examples and Code Snippets

No Code Snippets are available at this moment for dgc-testdata.

Community Discussions

No Community Discussions are available at this moment for dgc-testdata.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install dgc-testdata

You can download it from GitHub.
You can use dgc-testdata like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

Contribution and feedback is encouraged and always welcome. For more information about how to contribute, the project structure, as well as additional contribution information, see our Contribution Guidelines. By participating in this project, you agree to abide by its Code of Conduct at all times.

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