Metadata-Version: 2.1
Name: cornellGrading
Version: 2.19.0
Summary: Routines for interacting with Cornell installations of Canvas and Qualtrics
Home-page: https://github.com/dsavransky/grading
Author: Dmitry Savransky
Author-email: ds264@cornell.edu
License: MIT
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.7
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: requests
Requires-Dist: numpy
Requires-Dist: pandas
Requires-Dist: keyring
Requires-Dist: canvasapi
Requires-Dist: pytz
Provides-Extra: interface
Requires-Dist: bullet; (platform_system == "Linux" or platform_system == "Darwin") and extra == "interface"
Requires-Dist: console-menu; platform_system == "Windows" and extra == "interface"
Provides-Extra: latex2html
Requires-Dist: pdf2image; extra == "latex2html"
Requires-Dist: Pillow; extra == "latex2html"

# grading
Routines for semi-automated grading of MATLAB coding assignments and interaction with Canvas and Qualtrics.

By Dmitry Savransky with contributions by Guy Hoffman and Brian Kirby. Thanks also to Hadas Ritz for extensive testing and QA.

Please note: the Canvas routines have the potential to bork your gradebook and (unlikely but possibly) whole course site. **Use at your own risk**. 

[![Documentation Status](https://readthedocs.org/projects/grading/badge/?version=latest)](https://grading.readthedocs.io/en/latest/?badge=latest)
<a href="https://github.com/psf/black"><img alt="Code style: black" src="https://img.shields.io/badge/code%20style-black-000000.svg"></a>
[![PyPI version](https://badge.fury.io/py/cornellGrading.svg)](https://badge.fury.io/py/cornellGrading)

cornellGrading Installation
==============================
To install from PyPI:

```
pip install --user cornellGrading
```

Or, with optional dependencies required to push LaTeX into Canvas HTML:

```
pip install --user cornellGrading[latex2html]
```

To install system-wide, omit the `--user` option.

---
**NOTE**

The `latex2html` option requires the pandoc executable to be installed and in the system PATH.  For detailed pandoc installation instructions see here: https://pandoc.org/installing.html

---

If cloning from github, in the cloned grading directory:

```
pip install --user .
```

or, to install in developer mode:

```
pip install --user -e .
```

In order to also install requirements needed push LaTeX into Canvas HTML, do:

```
pip install --user -e .[latex2html]
```

cornellGrading Documentation
================================
Documentation is available here: https://grading.readthedocs.io/

Docstrings: https://grading.readthedocs.io/en/latest/cornellGrading.html#module-cornellGrading.cornellGrading

Acknowledgements
=====================
cornellGrading uses [UCF/Open_'s](https://ucfopen.github.io/) [canvasapi](https://github.com/ucfopen/canvasapi) and the [black](https://github.com/psf/black) code formatter. 

Testimonials
=====================
*I love pagescript.py. So easy to add my notes, matlab, powerpoint to module right after class. Bless you.* --Hadas Ritz
