semvec/pypi-packages huggingface dataset:
django-async-upload-kg 4.0.5
A Django app for the uploading of large files from the django admin site.
License: MIT License

django-async-upload
===============================

Based on fork from https://github.com/bit/django-async-upload. Allows install via pip:

        pip install django-async-upload-kg

django-async-upload is a django app to allow you to upload large files from within the django admin site asynchrously, that means that you can add any number of files on the admin page (e.g. through inline models) and continue editing other fields while files are uploading.

django-async-upload is compatible with django-storages (tested with S3Storage)


Installation
------------

* pip install django-async-upload
* Add ``admin_async_upload`` to your ``INSTALLED_APPS``
* Add ``url(r'^admin_async_upload/', include('admin_async_upload.urls')),`` to your urls.py
* Add a model field eg: ``from admin_resumable.models import ResumableFileField``

::

    class Foo(models.Model):
        bar = models.CharField(max_length=200)
        foo = AsyncFileField()



Optionally:

* Set ``ADMIN_RESUMABLE_CHUNKSIZE``, default is ``"1*1024*1024"``
* Set ``ADMIN_RESUMABLE_STORAGE``, default is setting of DEFAULT_FILE_STORAGE and ultimately ``'django.core.files.storage.FileSystemStorage'``.  If you don't want the default FileSystemStorage behaviour of creating new files on the server with filenames appended with _1, _2, etc for consecutive uploads of the same file, then you could use this to set your storage class to something like https://djangosnippets.org/snippets/976/
* Set ``ADMIN_RESUMABLE_CHUNK_STORAGE``, default is ``'django.core.files.storage.FileSystemStorage'`` .  If you don't want the default FileSystemStorage behaviour of creating new files on the server with filenames appended with _1, _2, etc for consecutive uploads of the same file, then you could use this to set your storage class to something like https://djangosnippets.org/snippets/976/
* Set ``ADMIN_RESUMABLE_SHOW_THUMB``, default is False. Shows a thumbnail next to the "Currently:" link.
* Set ``ADMIN_SIMULTANEOUS_UPLOADS`` to limit number of simulteneous uploads, dedaults to `3`. If you have broken pipe issues in local development environment, set this value to `1`.


Versions
--------

4.0.0   - inital fork of django-admin-async-upload 3.0.4 with support for Django 4 and later


Compatibility
-------------

Tested on Django 4.2 running on python 3.11

Thanks to
---------

original django-admin-resumable-js by jonatron https://github.com/jonatron/django-admin-resumable-js 

django-admin-resumable-js fork by roxel https://github.com/roxel/django-admin-resumable-js

django-admin-async-upload fork by DataGreed https://github.com/DataGreed/django-admin-async-upload

Resumable.js https://github.com/23/resumable.js

django-resumable https://github.com/jeanphix/django-resumable
retmap 1.0a1
A Python tool for computing and predicting characteristic curves and isotherms from experimental and simulated data.
License: MIT License
Requires Python: >=3.7
Keywords: adsorption, adsorption potential theory

# RETMAP

> [!WARNING]
> This software is still in alpha development, so certain features may not work as
> intended and the documentation may not be up to date. If you run into any problems, 
> please contact the maintainer or open a new issue. 

RETMAP (REfined Thermodynamical Model for Adsorption Prediction) is a Python 
application used for calculating adsorption properties, such as isobars and isotherms, 
using experimental or simulated data. For this, it makes use of Polanyi's adsorption 
potential theory, which is an effective method for predicting adsorption properties 
in the neighborhood of recorded data. 

The full documentation for the software can be found 
[here](https://stflavian.github.io/RETMAP/).

## Quick setup

> [!IMPORTANT]
> Most testing has been done using Python 3.12 on Windows and Linux. If you run into
> any issues when installing the application, please let us know by opening a new 
> issue.

RETMAP is an application built using Python 3.12, but should be compatible with all
supported versions of Python. In terms of dependencies, RETMAP is built using 
Numpy, Scipy, and Matplotlib, which are automatically installed alongside the 
application. RETMAP can be installed directly from PyPI using:

> pip install retmap

The application is platform independent, and should behave identically on all 
operating systems (Windows, MacOS, Linux, etc.). More details about the installation 
can be found [here](https://stflavian.github.io/RETMAP/installation/).

### Running RETMAP

In the working folder containing the configuration file, run:

> retmap config.in

## Terms of use

RETMAP is an open-source project licensed under the MIT licence. Usage of this software
in a scientific work should be cited accordingly.

## Authorship

This project started development during Flavian's Bachelor's End Project at Eindhoven 
University of Technology.

**Authors**: F. Stavarache [1], A. Luna-Triguero [2, 3], S. Calero [1, 3], and J. M. Vicent-Luna [1, 3]

[1] Materials Simulation & Modelling, Department of Applied Physics, Eindhoven 
University of Technology

[2] Energy Technology, Department of Mechanical Engineering, Eindhoven University of 
Technology

[3] Eindhoven Institute for Renewable Energy Systems (EIRES), Eindhoven University of 
Technology