semvec/pypi-packages huggingface dataset:
qdflow 1.0.2
Quantum dot simulation and noise modeling package
Requires Python: >=3.10
Keywords: qdflow, quantum, dot, QD, data, dataset, training, learning, ML, tuning, autotuning, charge, stability, CSD, ray

# QFlow-physics

A Thomas-Fermi simulation for modeling Quantum Dot devices. Generates Charge Stability Diagrams complete with sensor readout, state labels, charge configuration, and noise.

For more information, see [arXiv:2509.13298](https://arxiv.org/abs/2509.13298).

# Installation

Install the latest version of QDFlow:

```sh
pip install qdflow
```

# Documentaion

Documentation is available at https://qdflow-sim.readthedocs.io/.

# Dependencies

* numpy >= 1.21.3
* scipy >= 1.8
* networkx >= 2.8
* numba >= 0.55
torqueclient 0.8.3
Python client for mediawiki/torque

# torqueclient

Library to interface with a torque server running behind mediawiki.  It creates
a nicer programmattic interface with local caching options for the more cumbersome
rest interface that the torque mediawiki extension creates.

# Usage

The basic usage is:

```
from torqueclient import Torque

torque = Torque("<URL>", "<username>", "<password>")

print(torque.collections["<collection_name>"].documents["<document_key>"]["<field>"]
```

See the inline documentation for more information.
django-torque 0.8.3
django app for torque

# The torque app

This is the django app that should be deployed in a running django server.

Outside of installing the app, this should remain a black box.  The reason being
that none of the routes or uses for this should be accessed except
through the [Torque MediaWiki plugin](https://www.mediawiki.org/wiki/Extension:Torque).

For developers, look in the individual code files for details on the inner
workings.

See [INSTALL.md](https://code.librehq.com/ots/mediawiki/torque/-/blob/main/django-torque/INSTALL.md) for installation instructions.

# Django Commands

torque ships commands

## remove_unattached

Whenever loading up a new collection, there may be changes to the form of the data
as the collection evolves.  Because it may be uploaded in mistake, nothing is deleted
from the database to ensure that no unintentional data loss occurs.  However, admins
may want to remove that data to reflect the upgrades in the data.

`remove_unattached` removes those items.  Each field/document that gets uploaded will
be marked as `attached`.  If there are edits associated with a field or document, then
the `--forced` argument is required.

## run_cache_rebuilder

`run_cache_rebuilder` starts up the cache rebuilder.  This is responsible for all
the cache regeneration, and split off to a separate application in order to ensure
that it doesn't affect the main process.  It IS required to run, though, as it
does important database upkeep items as part of it's workflow.

If you want to run it as part of the application instead of separately, add
`"torque.cache_rebuilder",` as an `INSTALLED_APP` in your settings file, as
is exampled in [test_settings.py](test_settings.py) and [INSTALL.md](INSTALL.md)

## Removing attachment files

As a system runs, old FileField files can hang around on the hard drive.  Those
are usually uploaded attachments and templates.  This can start to take up
too much space.  To remove, one was is to use
[https://github.com/akolpakov/django-unused-media](django-unused-media):

```
$ pipenv install django-unused-media
```

Add `'django_unused_media'` to your INSTALLED_APPS and then run:

```
$ pipenv run python ./manage.py cleanup_unused_media
```
chipstream 0.9.14
GUI and CLI for DC data postprocessing
Requires Python: <4,>=3.10
Keywords: RT-DC, deformability, cytometry

|ChipStream|
============

|PyPI Version| |Build Status| |Coverage Status| |Docs Status|


**ChipStream** is a graphical user interface for postprocessing
deformability cytometry (DC) data. This includes background computation,
event segmentation, and feature extraction.


Documentation
-------------

The documentation, is available at
`chipstream.readthedocs.io <https://chipstream.readthedocs.io>`__.


Installation
------------
Installers for Windows and macOS are available at the `release page
<https://github.com/DC-analysis/ChipStream/releases>`__.
The `documentation/install section <https://chipstream.readthedocs.io/en/latest/install.html>`_
explains how you can install ChipStream via ``pip``, including extras and caveats.


Execution
---------
If you have installed ChipStream from PyPI, you can start it with

::

    # graphical user interface
    chipstream-gui
    # command-line interface
    chipstream-cli


Citing ChipStream
-----------------
Please cite ChipStream either in-line

::

  (...) using the postprocessing software ChipStream version X.X.X
  (available at https://github.com/DC-analysis/ChipStream).

or in a bibliography

::

  Paul Müller and others (2023), ChipStream version X.X.X: Postprocessing
  software for deformability cytometry [Software]. Available at
  https://github.com/DC-analysis/ChipStream.

and replace ``X.X.X`` with the version of ChipStream that you used.


Testing
-------

::

    pip install -e .
    pip install -r tests/requirements.txt
    pytest tests


.. |ChipStream| image:: https://raw.github.com/DC-analysis/ChipStream/main/docs/artwork/chipstream_splash.png
.. |PyPI Version| image:: https://img.shields.io/pypi/v/ChipStream.svg
   :target: https://pypi.python.org/pypi/ChipStream
.. |Build Status| image:: https://img.shields.io/github/actions/workflow/status/DC-analysis/ChipStream/check.yml?branch=main
   :target: https://github.com/DC-analysis/ChipStream/actions?query=workflow%3AChecks
.. |Coverage Status| image:: https://img.shields.io/codecov/c/github/DC-analysis/ChipStream/main.svg
   :target: https://codecov.io/gh/DC-analysis/ChipStream
.. |Docs Status| image:: https://img.shields.io/readthedocs/chipstream
   :target: https://readthedocs.org/projects/chipstream/builds/