semvec/pypi-packages huggingface dataset:
runtest 2.3.5
runtest: Numerically tolerant end-to-end test library for research software.

[![image](https://github.com/bast/runtest/workflows/Test/badge.svg)](https://github.com/bast/runtest/actions)
[![image](https://coveralls.io/repos/bast/runtest/badge.png?branch=main)](https://coveralls.io/r/bast/runtest?branch=main)
[![image](https://readthedocs.org/projects/runtest/badge/?version=latest)](http://runtest.readthedocs.io)
[![image](https://img.shields.io/badge/license-%20MPL--v2.0-blue.svg)](LICENSES/MPL-2.0.txt)
[![image](https://zenodo.org/badge/DOI/10.5281/zenodo.1069004.svg)](https://doi.org/10.5281/zenodo.1069004)
[![image](https://badge.fury.io/py/runtest.svg)](https://badge.fury.io/py/runtest)


# runtest

Numerically tolerant end-to-end test library for research software.

![image of a hardware circuit with red and green light bulbs](img/runtest-small.png)

Image: [Midjourney](https://midjourney.com/), [CC BY-NC 4.0](https://creativecommons.org/licenses/by-nc/4.0/legalcode)


## Installation

```
$ pip install runtest
```


## Supported Python versions

The library is tested with Python 3.10 - 3.13.  If you want to test
runtest itself on your computer, you can follow what we do in the [CI
workflow](https://github.com/bast/runtest/blob/main/.github/workflows/test.yml).


## Documentation

- [Latest code](http://runtest.readthedocs.io/en/latest/) (main branch)


Past versions
- [1.3.z](http://runtest.readthedocs.io/en/release-1.3.z/) ([release-1.3.z branch](https://github.com/bast/runtest/tree/release-1.3.z))


## Citation

For a recommended citation, please check the at the bottom-right of
<https://zenodo.org/record/3893712>.


## Projects using runtest

- [DIRAC](http://diracprogram.org)
- [Dalton](http://daltonprogram.org) and [LSDalton](http://daltonprogram.org)
- [GIMIC](https://github.com/qmcurrents/gimic)
- [OpenRSP](http://openrsp.org)
- [MRChem](https://mrchem.readthedocs.io/en/latest/)
- GRASP (General-purpose Relativistic Atomic Structure Program)
- [eT](https://etprogram.org)

If you use runtest, please add a link to your project via a pull
request.


## Similar projects

- [testcode](http://testcode.readthedocs.io) is a python module for
  testing for regression errors in numerical (principally scientific)
  software.
ZionClouds-Common-code 1.0.1
A simple utility library for common operations used in ZionClouds projects
Requires Python: >=3.10

# GCS Utils

A simple utility library for Google Cloud Storage operations.

## Installation

```bash
pip install ZionClouds-Common-code==1.0.0
```

## Usage

```python
from gcs_utils import GCSClient

# Initialize with service account key
client = GCSClient(
    credentials_path="/path/to/service-account.json",
    project_id="your-project-id"
)

# Upload file
success, gcs_uri = client.upload_to_gcs(
    bucket_name="your-bucket",
    file_name="document.pdf",
    file_data=file_bytes,
    meta_data={"author": "John Doe"}
)
```
bvbrc 0.2.1
A python interface to the BV-BRC Data API
Requires Python: >=3.9
Keywords: BV-BRC

# bvbrc

The [Bacterial and Viral Bioinformatics Resource Center (BV-BRC)](https://bv-brc.org)
is an online resource for research in bacterial and viral infectious disease.
BV-BRC provides a [Data API](https://bv-brc.org/api) that can be used to request
data from BV-BRC in your own workflows.

`bvbrc` is a python package that is intended to make interacting with the BV-BRC
Data API within python code feel straightfoward and intuitive. Please reference
the [bvbrc documentation](https://bvbrc.readthedocs.io) for help using `bvbrc`.

## Installation

`bvbrc` can be installed from PyPI using pip:

```shell
pip install bvbrc
```

If you want to be able to convert the API responses to a `pandas` or `polars`
DataFrame, then you must also install the appropriate package:

```shell
pip install pandas
```

or

```shell
pip install polars
```

## Contributing

This project is open source and contributions are welcome! If you are interested
in contributing, please take a look at the [contributing guidelines][contributing].

[contributing]: https://github.com/abates20/bvbrc/blob/main/.github/CONTRIBUTING.md
flex-dtk 0.5.0
Handy tools for datalake access
Requires Python: >=3.9

# Flexitricity Data Tool Kit 🛠️

![coverage](https://img.shields.io/badge/coverage-100-green)
![pylint-score](https://img.shields.io/badge/pylint-10-green)

Handy tools for data access within Flexitricity.

[Full documentation is available](https://red-sky-0894abb03.4.azurestaticapps.net/)

Note that for easier distribution this project is open source, although it's unlikely that functions within here would be of use as packaged, outside of the company context.
core-ai-types 0.2.2
Contains type definitions for CoreAI MCP integration.
Requires Python: >=3.12

# CoreAI Types
This package provides the essential Pydantic models and data structures needed to develop custom MCP Servers that interact with the **CoreAI** platform.

By using core-ai-types, you ensure that the tools and services you build are fully compatible with CoreAI's data contracts. This enables seamless integration, type safety, and a more efficient development experience with auto-completion in your IDE.

## Requirements
- Python 3.12 or higher

## Installation
Install the package using uv or your preferred Python package manager:

```bash
uv add core-ai-types
```