semvec/pypi-packages huggingface dataset:
can-i-park 0.3.0
A CLI and exporter to fetch the status of parkings in Ghent

# Can I park?

Driving to Ghent and want to know if there is place in one of the car parks
managed by the city, without leaving the warmth of your terminal before you
leave? Look no further than this utility!

## How to install

### Using pip

```
pip install can-i-park
```

## How to use

### CLI

The CLI can be used in the following ways:

```bash
# Using arguments
$ can-i-park
# Arguments can be passed to filter on garages, if they are in a low emission zone and for showing extra information about the garage
$ can-i-park --name sint-pieters --no-lez -v
# The script can also be called using it's abbreviation
$ cip
```

## See it in action

![GIF of an example session interacting with the cli](demo.gif)
blocktrix 0.0.5
A JAX library for solving block tri-diagonal matrix systems
Requires Python: >=3.11

# blocktrix

[![Repo Status][status-badge]][status-link]
[![PyPI Version Status][pypi-badge]][pypi-link]
[![Test Status][workflow-test-badge]][workflow-test-link]
[![Ruff][ruff-badge]][ruff-link]
[![License][license-badge]][license-link]
[![Software DOI][software-doi-badge]][software-doi-link]

[status-link]:         https://www.repostatus.org/#active
[status-badge]:        https://www.repostatus.org/badges/latest/active.svg
[pypi-link]:           https://pypi.org/project/blocktrix
[pypi-badge]:          https://img.shields.io/pypi/v/blocktrix?label=PyPI&logo=pypi
[workflow-test-link]:  https://github.com/pmocz/blocktrix/actions/workflows/test-package.yml
[workflow-test-badge]: https://github.com/pmocz/blocktrix/actions/workflows/test-package.yml/badge.svg?event=push
[ruff-link]:           https://github.com/astral-sh/ruff
[ruff-badge]:          https://img.shields.io/endpoint?url=https://raw.githubusercontent.com/astral-sh/ruff/main/assets/badge/v2.json
[license-link]:        https://opensource.org/licenses/MIT
[license-badge]:       https://img.shields.io/badge/license-MIT-blue.svg
[software-doi-link]:   https://doi.org/10.5281/zenodo.18226420
[software-doi-badge]:  https://zenodo.org/badge/1132904104.svg

A JAX library for efficiently solving block tri-diagonal matrix systems on GPUs.

Author: [Philip Mocz (@pmocz)](https://github.com/pmocz/)

Implements both a block [**Thomas**](https://en.wikipedia.org/wiki/Tridiagonal_matrix_algorithm) (serial) solver and a block cyclic reduction [**B-cyclic**](https://ui.adsabs.harvard.edu/abs/2010JCoPh.229.6392H) (parallel) solver.

⚠️ **Warning: Work in Progress** ⚠️

This library is still under active development and is not guaranteed to work at this point XXX.


## Installation

```bash
pip install blocktrix
```

## Usage


```python
import jax
from blocktrix import solve_block_tridiagonal_bcyclic, random_block_tridiagonal

# Generate a random test system
key = jax.random.PRNGKey(42)
n_blocks, block_size = 8, 4

lower, diag, upper, rhs = random_block_tridiagonal(key, n_blocks, block_size)

# Solve the system
x = solve_block_tridiagonal_bcyclic(n_blocks, lower, diag, upper, rhs)
```

![Quickstart](examples/quickstart/solution.png)


## It's fast!

![Timing comparison](examples/timing/timing.png)

![Speedup](examples/timing/speedup.png)


## Links

* [Code repository](https://github.com/pmocz/blocktrix)
* [Documentation](https://github.com/pmocz/blocktrix)


## Cite this repository

If you use this software, please cite it as below.

```bibtex
@software{Mocz_Blocktrix_2026,
   author = {Mocz, Philip},
      doi = {https://doi.org/10.5281/zenodo.18226420},
    month = jan,
    title = {{Blocktrix}},
      url = {https://github.com/pmocz/blocktrix},
  version = {0.0.4},
     year = {2026}
}
```
phonexia-keyword-spotting-client 2.1.1
Keyword Spotting Client
Requires Python: >=3.9
Keywords: keyword-spotting, audio, voice, speech, search, grpc

![](https://www.phonexia.com/wp-content/uploads/phonexia-logo-transparent-500px.png)
# Phonexia keyword spotting client

This module contains client for communication with [keyword spotting microservice](https://hub.docker.com/repository/docker/phonexia/keyword-spotting/general) developed by [Phonexia](https://phonexia.com).

To use this client you will first need a running instance of any *Phonexia keyword spotting microservice*. If you don't yet have any running instance, don't hesitate to [contact our sales department](mailto:info@phonexia.com).

You can learn more about the keyword spotting technology [here](https://docs.phonexia.com/products/speech-platform-4/technologies/keyword-spotting/).

On [this page](https://docs.phonexia.com/products/speech-platform-4/grpc/api/phonexia/grpc/technologies/keyword_spotting/v1/keyword_spotting.proto), you will find a *gRPC API* reference for *keyword spotting microservice*.