semvec/pypi-packages huggingface dataset:
remote-fuse 0.1.6
Mount remote cloud storage as FUSE filesystem
Requires Python: >=3.10

# FUSE File System for accessing remote servers

A FUSE file system for mounting remote file servers as local directories.
Currently, we support Microsoft SharePoint sites.

## Installation

```bash
pip install remote-fuse
```

## Configuration

The following environment variables need to be set:

- `TENANT_ID`: Azure AD tenant ID
- `CLIENT_ID`: Azure AD client/application ID
- `CLIENT_SECRET`: Azure AD client secret
- `SITE_ID`: SharePoint site ID

## Running

```bash
# Mount remote cloud storage
remote-fuse <mounting-point>
# Optionally, you can add `--site-id <site-id` as an argument to the command.

# Unomunt when finished
fusermount -uqz <mount-point>
```

## Development

```bash
# Install dependencies
python -m venv .venv
source .venv/bin/activate

# Install dependencies
pip install -e .

# For development/testing
pip install -e ".[test]"
```

## Requirements

- FUSE implementation (libfuse2 on Ubuntu, macFUSE on macOS)

## Usage

```bash
# Mount SharePoint site as local directory
python src/commands/fuse_sharepoint.py <mount-point> [--site-id optional]

# Unomunt SharePoint site when finished
fusermount -uqz <mount-point>

# Run tests
pytest
```

## Overview of the project

* `src/remote_fuse/core.py`: Implements Fuse interface and by invoking API calls to remote service
* `src/remote_fuse/sharepoint.py`: Implements the interface to present SharePoint as a local filesystem
* `src/commands/fuse_sharepoint.py`: Mounts SharePoint site as local directory

## python-fuse documentation

Currently, python-fuse only supports Linux.
There is no easy way to stop the process once started, it doesn't react to signals,
however, it will stop if you unmount it.
https://github.com/libfuse/python-fuse/blob/master/README.new_fusepy_api.rst
qcheff 0.2.1
Effective Hamiltonian calculator for quantum systems.
Requires Python: >=3.11

# ${\rm qCH_{eff}}$
${\rm qCH_{eff}}$ (/kju ʃɛf/) calculates effective Hamiltonians for quantum systems.
# Getting Started
 ${\rm qCH_{eff}}$ can be installed using `pip`:
```sh
pip install qcheff
 ```

Detailed installation instruction are [provided here](user_guide/install.md). CuPy is required in order to use the GPU for computations. 

# Contributing

We use the permissive [MIT](https://choosealicense.com/licenses/mit/) license. Pull requests are welcome. For major changes, please open a GitHub issue first to discuss what you would like to change. Please make sure to update tests as appropriate. More developer documentation is available [here](developer_docs/index).

# Citing ${\rm qCH_{eff}}$ 
 If you use ${\rm qCH_{eff}}$  in your work, please cite our [paper](https://arxiv.org/abs/2411.09982): 

```bibtex
@article{qcheff2025,
      title={GPU-accelerated Effective Hamiltonian Calculator}, 
      author={Abhishek Chakraborty and Taylor L. Patti and Brucek Khailany and Andrew N. Jordan and Anima Anandkumar},
      year={2025},
      eprint={2411.09982},
      archivePrefix={arXiv},
      primaryClass={quant-ph},
      url={https://arxiv.org/abs/2411.09982}, 
}

```