Metadata-Version: 2.1
Name: pygentest
Version: 0.0.8
Summary: Python test generators
Author-email: Thien-Phuoc Phung <phungthienphuoctthnnh@gmail.com>
Project-URL: Repository, https://github.com/phungthienphuoc/py-gentest
Project-URL: Issues, https://github.com/phungthienphuoc/py-gentest/issues
Project-URL: Documentation, https://github.com/phungthienphuoc/pygentest/blob/main/Documentation.md
Keywords: Python test,generator,testing,competitive programming,test generation,pygentest,test library
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.8
Description-Content-Type: text/markdown
License-File: LICENSE

pygentest - Python Test Generators
===

<p>
<code>pygentest</code> is a Python library supporting several data generators. 

With <code>pygentest</code>, you can generate several type of data, from the simple like random ***character*** or ***string***, to the more complex such as ***graph***, ***tree***, ***convex lattice polygon***.
</p>

**You are very welcome to:**
- Install and use <code>pygentest</code>.
- Give feedbacks.
- Report issues and bugs.
- Provide ideas to improve this library.

<h2> Installation </h2>

<p>
You can simply install <code>pygentest</code> with <a href="https://pypi.org/project/pip/">pip</a>.

```
pip install pygentest
```
</p>

<h2> Other information </h2>

Currently, documentation is written for every function and class in <code>pygentest</code>. You can access it by using Python built-in <code>help</code> function. You can also read the documentation <a href=#Documentation>here</a>.

Detailed instruction has not been written yet, and it will be completed soon.

In the future, I will write a document that analyzes intuition, complexity, and efficiency of each generator.

The inspiration of this personal project comes from my task as an Algorithm Collaborator in <a href="https://www.facebook.com/code.mely/">Code Mely</a>: prepare problems for a contest and generate tests for each problem. I decided to write a Python library that could help generate complex structures, instead of rewrite the code many times.
