semvec/pypi-packages huggingface dataset:
wannierberri 1.8.0
Constructuion of Wannier functions and Wannier interpolation
Requires Python: >=3.11

=========
Wannier Berri
=========

.. image:: https://codecov.io/gh/wannier-berri/wannier-berri/branch/master/graph/badge.svg?token=S7CH32VXRP
  :target: https://codecov.io/gh/wannier-berri/wannier-berri


A code for highly efficient Wannier interpolation. 
----------------------------------------------------------
Evaluation of k-space integrals of Berry curvature, orbital moment and derived quantities by means of MLWFs or tight-binding models.  Compared to postw90.x part of Wannier90 code, it has extended functional and improved performance


Web page
--------
http://wannier-berri.org


Mailing list:
-------------
To subscribe please send an email to  sympa@physik.lists.uzh.ch  with the subject
**subscribe wannier-berri Firstname Lastname**
or visit the list homepage https://physik.lists.uzh.ch/sympa/info/wannier-berri


This code is intended for highly-efficient wannier interpolation.
Being initially an analog of postw90.x part of Wannier90 code, it has extended functional and improved performance. 


Improved performance and accuracy:
----------------------------------
Wannier-Berri calculates Brillouin zone integrals very fast with high precision over an 
ultradense k-grid. This is achieved due to :

* Using Fast Fourier Transform
* account of symmetries, to reduce integration to irreducible part of the Brillouin zone
* recursive adaptive refinement algorithm
* optimized Fermi level scan
* optimized minimal distanse replica method (``use_ws_distance``)

Implemented functionality:
---------------------
* Anomalous Hall conductivity
* Orbital magnetization (modern theory)
* Ohmic conductivity
* Berry curvature dipole
* gyrotropic magnetoelectric effect
* Hall effect
* Low-Field Hall effect

Other features:
---------------
* Object oriented structure also makes it potentially easier to implement further features. 
* Calculations may also be performed for any tight-binding model, for which a "_tb.dat" file was generated in watever way.
* WannierBerri can run in parallel by means of multiprocessing module

Installation
------------
``pip3 install wannierberri``

Author
------
Stepan Tsirkin, 
University of Zurich


License
--------
The code is distributed under the terms of  GNU GENERAL PUBLIC LICENSE  Version 2

Acknowledgements
----------------
The code was inspired by the Wannier90 Fortran code:
http://www.wannier.org/ , https://github.com/wannier-developers/wannier90 . 
Some parts of the code are an adapted translation of postw90 code. 

I acknowledge Ivo Souza for a useful discussion.
pyopensoundcontrol 1.0.15
A package to add fully featured OSC support to python
Requires Python: <4.0.0,>=3.13
Keywords: osc, sound, midi, music, sockets, transport, Lighting, Theatre

# PyOSC

Python library to support OSC (Open Sound Control).

## About the Project

I had issues getting the support I needed out of any of the other packages, so I decide how hard can it be...

## Features
- Support for both UDP and TCP transport protocols
- Flexible message handling with customizable handlers
- Support for both OSC version 1.0 and 1.1
- Background processing of incoming messages to avoid blocking the main thread
- Simple API for sending OSC messages to remote hosts
bitcart 1.19.1.2
Bitcart coins support library
Requires Python: >=3.12
Keywords: bitcart, bitcartcc, daemon, electrum

# Bitcart SDK

[![CI](https://github.com/bitcart/bitcart-sdk/actions/workflows/ci.yml/badge.svg)](https://github.com/bitcart/bitcart-sdk/actions/workflows/ci.yml)
[![Codecov](https://img.shields.io/codecov/c/github/bitcart/bitcart-sdk?style=flat-square)](https://codecov.io/gh/bitcart/bitcart-sdk)
[![PyPI version](https://img.shields.io/pypi/v/bitcart.svg?style=flat-square)](https://pypi.python.org/pypi/bitcart/)
[![Read the Docs](https://img.shields.io/readthedocs/bitcart-sdk?style=flat-square)](https://sdk.bitcart.ai)

This is a client library(wrapper) around Bitcart daemon. It is used to simplify common commands.
Coins support(⚡ means lightning is supported):

- Bitcoin (⚡)
- Bitcoin Cash
- Monero
- Ethereum
- Binance coin (BNB)
- Polygon (MATIC)
- Tron (TRX)
- Ergon
- Litecoin (⚡)
- Groestlcoin (⚡)

Main focus is Bitcoin.

This library supports both asynchronous and synchronous usages.

You can call it's methods synchronously, like so:

```python
print(btc.help())
```

Or you can await it's methods when using from async functions:

```python
async def main():
    print(await btc.help())
```

Async callback functions for `@btc.on` are supported.

For more information [Read the Docs](https://sdk.bitcart.ai)

## Release versioning

We follow a custom variant of semver:

`major.minor.feature.bugfix`

Where `major` is changed not frequently, and means significant changes to the SDK

`minor` means breaking changes

`feature` means adding new features without breaking existing APIs

`bugfix` means fixing bugs without breaking existing APIs

## Contributing

See [CONTRIBUTING.md](CONTRIBUTING.md).

## Copyright and License

Copyright (C) 2019 MrNaif2018

Licensed under the [MIT license](LICENSE)
comfygit-deploy 0.3.20
ComfyGit Deploy - Remote deployment and worker management CLI
Requires Python: >=3.10

# ComfyGit Deploy

Remote deployment and worker management CLI for ComfyGit.

## Installation

```bash
pip install comfygit-deploy
# or
uv tool install comfygit-deploy
```

## Usage

```bash
# Configure RunPod
cg-deploy runpod config --api-key <your-key>

# Deploy to RunPod
cg-deploy runpod deploy <git-url> --gpu "RTX 4090"

# Manage instances
cg-deploy instances
cg-deploy stop <instance-id>
cg-deploy terminate <instance-id>
```

See the [documentation](../../docs/comfygit-docs/) for full usage information.
expipe 0.6.1
Experiment-data management platform
Requires Python: >=3.9

[![Build Status](https://github.com/CINPLA/expipe/actions/workflows/full_tests.yml/badge.svg)](https://github.com/CINPLA/expipe/actions/workflows/full_tests.yml/badge.svg)[![Project Status: WIP – Initial development is in progress, but there has not yet been a stable, usable release suitable for the public.](http://www.repostatus.org/badges/latest/wip.svg)](http://www.repostatus.org/#wip)
[![PyPI version](https://badge.fury.io/py/expipe.svg)](https://badge.fury.io/py/expipe)

# Expipe

To facilitate data sharing, provenance and management of data and metadata we introduce Expipe, a semi-structured and lightweight data management platform designed for neuroscience research. 
Expipe implements a conceptually simple and familiar project structure and includes functionalities for data and metadata handling, retrieval, and exploration, which in turn can simplify the steps from experiments to analysis. 
Differently from existing solutions, the flexible and easy-to-use Expipe framework can provide an entry-level data management solution for both small and large experimental laboratories. 


## Installation

Expipe can be installed using pip:

```
pip install expipe
```

See the [documentation](https://expipe.readthedocs.io/)
for more information on how to use expipe.
mura 0.3.0
WandB, Git, and run-table integration for ML++ / eliminating workflow unevenness - Now with Hydra support!
Requires Python: >=3.10

## Changelog:
- See next-to-top version for stable release (latest is always WIP/unstable)

### 0.3.0 (2026-02-16)
- GPT-assisted rewrite with Hydra; to remove non-Hydra later.
- Now primarily supports Slurm / standard clusters and ML training.

### 0.2.20 (2025-08-01)
- Add copy function for models

### 0.2.17 (2025-07-17)
- Add load from file for models

### 0.2.15 (2025-07-16)
- Changed GPUs to only include "free" GPUs; temporarily available due to cluster.
- Added missing pynvml dependency
- Added memory limit for GPU selection

### 0.2.12 (2025-07-16)
- Added full config info to model initialization (lightning run script)
- Added model adjust option (lightning run script)

### 0.2.9 (2025-07-15)
- Minor changes to lightning run script that matches the delay-neural-operator code


### 0.2.8 (2025-07-14)
- Major (breaking) change: Removed OmegaConf dependency except for `MISSING` value
- Added toml save support for configuration files
- TODO: add toml load support

### 0.2.6 (2025-07-13)
- Major (breaking) change: Refactor-in-progress to use `dataclasses` for better performance and readability
- Major (breaking) change: Ignoring cluster-job-deployment; this will be reintroduced in a future release
- TODO: add support for schema validation

### 0.1.0 (2025-01-01)
- Initial release with slow, dictionary-to-class parsing
- Note-to-self: older qg package releases need to be pinned to this version for compatibility
har2tree 1.36.5
HTTP Archive (HAR) to ETE Toolkit generator
Requires Python: <3.15,>=3.10

[![Documentation Status](https://readthedocs.org/projects/har2tree/badge/?version=latest)](https://har2tree.readthedocs.io/en/latest/?badge=latest)
[![codecov](https://codecov.io/gh/Lookyloo/har2tree/branch/main/graph/badge.svg)](https://codecov.io/gh/Lookyloo/har2tree)

Har2Tree
========


This package generate a tree out of a HAR dump.


Installation
============

```bash
pip install har2tree
```