semvec/pypi-packages huggingface dataset:
panda-client-light 1.6.9
Lightweight PanDA Client Package installed on PanDA server
Requires Python: !=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,>=2.7

# How to install

Download the code
```
git clone https://github.com/PanDAWMS/panda-client.git
cd panda-client
```
and install it
```
python setup.py install --prefix=/path/to/install/dir
```
or create the tar ball
```
python setup.py sdist
pip install dist/panda-client-*.tar.gz
```

# How to use
```
source /path/to/install/dir/etc/panda/panda_setup.[c]sh
prun -h
pathena -h
```

# Release Notes

https://github.com/PanDAWMS/panda-client/releases

# CVMFS deployment
Request atlas-adc-tier3sw-install to install the new specific version on CVMFS. They will download the package from the github release page.

# Uploading to pip
```
python setup.py sdist upload
```
Uploading source so that wheel generates setup files locally.
trinsic-api 3.0.1
Trinsic API
Keywords: Trinsic, SDK, Identity verification

# Trinsic API Python Library

![Version](https://img.shields.io/pypi/v/trinsic-api)
[![Build Status](https://github.com/trinsic-id/sdk/actions/workflows/api-python-release.yml/badge.svg)](https://github.com/trinsic-id/sdk/actions?query=branch%main)

The Trinsic API Python library provides convenient access to the Trinsic API from applications written in Python

## Documentation

See the [Trinsic docs](https://docs.trinsic.id/docs/) for more detailed information on how to start integrating with our identity acceptance network.

## Installation

Install the package with:

```sh
pip install trinsic-api
```

## Usage

The package needs to be configured with your app's access token, which is
available in the [Trinsic Dashboard](https://dashboard.trinsic.id).

```py
from trinsic_api.api_client import ApiClient
from trinsic_api.api.attachments_api import AttachmentsApi
from trinsic_api.api.network_api import NetworkApi
from trinsic_api.api.sessions_api import SessionsApi

auth_token = "Bearer " + "your-access-token"
configuration = Configuration.get_default()
# Set to true if you want debug request logging
configuration.debug = False
configuration.access_token = token

api_client = ApiClient(configuration=configuration)

attachments_api = AttachmentsApi(api_client)
network_api = NetworkApi(api_client)
sessions_api = SessionsApi(api_client)
```

You can find a full Python server example in the [samples](https://github.com/trinsic-id/sdk/tree/main/api-python/samples) folder.

## SDK Versioning

Our SDKs follow the [Semantic Versioning](https://semver.org) ("SemVer") scheme. 

For example, the version number `1.13.0` has a major version of `1`, a minor version of `13`, and a patch version of `0`.

Breaking changes are only introduced alongside a new major version.

## Support

Any issues, inquiries, and feature requests can be sent to [support@trinsic.id](mailto:support@trinsic.id), or feel free to open a GitHub issue [here](https://github.com/trinsic-id/sdk/issues).

## More Information

- [API Reference](https://docs.trinsic.id/reference)
- [Developer Guide](https://docs.trinsic.id/docs/developer-tools)
- [Our Blog](https://trinsic.id/blog/)
- [Schedule a demo](https://trinsic.id/contact/)
ewokstomo 0.7.0
Data processing workflows for Tomography
Requires Python: >=3.10
Keywords: ewoks

# ewokstomo

The **ewokstomo** project is a Python library designed to provide workflow tasks for Tomographic Data Processing using Ewoks (Extensible Workflow System).

## Installation

By default, at the ESRF, `ewokstomo` should be installed on Ewoks workers using an Ansible script by the DAU team.
If you wish to install `ewokstomo` manually, ensure you have Python 3.10+ and `pip` installed. You can install the library directly from PyPI:

```sh
pip install ewokstomo
```

Alternatively, to install from source, clone this repository and run:

```sh
git clone https://gitlab.esrf.fr/workflow/ewoksapps/ewokstomo.git
cd ewokstomo
pip install -e .
```

## Quickstart Guide

### Running an `ewokstomo` Workflow

Most of the time, the workflow will be automatically ran from the Bliss control system.
However if you wish to execute the workflow by hand, you can use the following:

`ewoks execute workflow.json`

Some examples of workflow are found in `ewokstomo/workflows`

## How-To Guides

For detailed instructions on various tasks, please refer to the How-To Guides in the documentation, which cover topics such as:

- Configuration of tomography workflows
- Running workflows locally for testing
- Using the API to run specific tasks (e.g., NXtomo conversion, reconstruction)

## Documentation

Comprehensive documentation, including an API reference, tutorials, and conceptual explanations, can be found in the [doc directory](./doc) or online at the [ReadTheDocs page](https://ewokstomo.readthedocs.io).

## Contributing

Contributions are welcome! To contribute, please:

1. Clone the repository and create a new branch for your feature or fix.
2. Write tests and ensure that the code is well-documented.
3. Submit a merge request for review.

See the [`CONTRIBUTING.md`](./CONTRIBUTING.md) file for more details.

## License

This project is licensed under the MIT License. See the [`LICENSE.md`](./LICENSE.md) file for details.

## Support

If you have any questions or issues, please open an issue on the GitLab repository or contact the support team via a [data processing request ticket](https://requests.esrf.fr/plugins/servlet/desk/portal/41).