tiny-test-data | Super small biological datasets for unit testing

by roryk Python Version: Current License: MIT

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kandi X-RAY | tiny-test-data Summary

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

##tiny-test-data Super small biological datasets designed with unit testing in mind. ###rationale Tests are great to have but they are not very fun to write and coming up with small datasets for testing, especially given the myriad of file formats we deal with, is often super annoying. One way to make tests less not-fun to write is to have a handy set of tiny test data at hand. ###contributing If you have a nice set of tiny test data of your own please open up a pull request.

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tiny-test-data has a low active ecosystem.

It has 57 star(s) with 19 fork(s). There are 6 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 3 have been closed. On average issues are closed in 0 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of tiny-test-data is current.

Quality

tiny-test-data has 0 bugs and 0 code smells.

Security

tiny-test-data has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

tiny-test-data code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

tiny-test-data 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

tiny-test-data releases are not available. You will need to build from source code and install.

tiny-test-data has no build file. You will be need to create the build yourself to build the component from source.

tiny-test-data saves you 609 person hours of effort in developing the same functionality from scratch.

It has 1419 lines of code, 5 functions and 6 files.

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

Top functions reviewed by kandi - BETA

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

Takes in_format and writes fastq records
Returns a function that returns a function that returns True if the sequence is shorter than the read_length .
Trim records to read_length .

Get all kandi verified functions for this library.

tiny-test-data Key Features

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tiny-test-data Examples and Code Snippets

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Community Discussions

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

Vulnerabilities

No vulnerabilities reported

Install tiny-test-data

You can download it from GitHub.
You can use tiny-test-data 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

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 .

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