semvec/pypi-packages huggingface dataset:
flex-dash-docset-generator 2026.1.25
Dash docset generator for Flex
Requires Python: >=3.10

Dash docset generator for [Flex](https://github.com/westes/flex)

### Instructions

- Download and build
[upstream source](https://github.com/westes/flex)
    - Latest release can be found 
    [here](https://github.com/westes/flex/releases/latest)
    - You only need to build the html documentation

- `flex-dash-docset-generator MANUAL_SOURCE`

    - If `pipx` is installed, you can avoid `pip install`ing anything and just
    run `pipx run flex-dash-docset-generator MANUAL_SOURCE`
    - `MANUAL_SOURCE` will be the path to the html sources, which 
    should be something like `flex/doc/flex.html`
    - For a full set of options: `flex-dash-docset-generator -h`
tart 1.4.5
Transient Array Radio Telescope Imaging and Operation Library
Requires Python: >=3.11

# TART: Radio-telescope operating software

This module is used for the operation and imaging from the open-source Transient Array Radio Telescope (TART).

For more information see the [TART Github repository](https://github.com/tmolteno/tart_modules), and (https://tart.elec.ac.nz)

## Authors

* Tim Molteno (tim@elec.ac.nz)
* Max Scheel (max@max.ac.nz)

## Installation

Default installation (includes all features):
```
pip install tart
```

For minimal installation (without scipy simulation features):
```
pip install tart[minimal]
```

For installation with plotting support:
```
pip install tart[plotting]
```

For complete installation (all optional features including networking and performance enhancements):
```
pip install tart[all]
```

**Note:** The `[all]` option includes jsonrpclib, matplotlib, pyfftw, requests, and scipy for complete functionality. Some simulation features require scipy and plotting features require matplotlib. These are optional dependencies that will provide helpful error messages if missing. The spectrum analysis feature now works in minimal installations using numpy.fft instead of scipy.fft.

## Development work

If you are developing this package, this should be installed using
```
	make develop
```
in which case changes to the source-code will be immediately available to projects using it.


## NEWS

Changelog:

* 1.4.5   Keep in sync with tart_tools.
* 1.4.3   Keep in sync with tart_tools.
* 1.4.0   Add a to_json method to visibilty.
* 1.3.5   Fix bugs in x,y array indices.
* 1.3.4   Add routines for converting l,m to x,y and use them.
* 1.3.3   Keep in sync with tart_tools.
* 1.3.1   Added minimal dependency option excluding scipy. Spectrum analysis now uses numpy.fft for better minimal compatibility.
* 1.3.0   Huge refactor to get tests going again.
* 1.2.0b4 Fix up the loading of config data.
* 1.2.0b1 TART tools update (new tart_get_archive_data super-handy tool)
* 1.1.2b8 TART tools update
* 1.1.2b7 Handle expiration of JWT tokens better (in tart_tools)
* 1.1.2b6 Pass the lat and lon to catalog_url
* 1.1.2b5 Require the python-dateutil library
* 1.1.2b4 Require the requests library
* 1.1.2b3 Change API of catalog_url to use lon and lat explicitly
* 1.1.2b0 make h5 to json compatible with tart2ms json import.
* 1.1.1b1 Make sure all get_all_uvw() return meters rather than wavelengths.
* 1.1.0b9 Switch to new based utc class,
		  Fix up some old tests
* 1.1.0b8 Move to separate repository.
		  Better tests.
* 1.1.0b7 Better dealing with h5 files, returning a dict with sufficient information to generate calibrated visibilities.
* 1.1.0b6 Save calibration gains and phases.
* 1.1.0b5 Use raw docstrings for those that contain escape sequences.
* 1.1.0b4 Fix hdf5 visibility output.
* 1.1.0b3 Rework empirical antenna model.
* 1.1.0b0 Add hdf5 IO
* 0.15.5  Added EPHEMERIS_SERVER_HOST, POSTGRES_HOST, POSTGRES_USER, POSTGRES_PASSWORD environment variable.
ubpe-native 0.2.3
Python implementation of UBPE tokenization algorithm.
Requires Python: >=3.12

# ubpe-native

> Native Python implementation of the [Universal Byte Pair Encoding Tokenizer](https://github.com/Scurrra/ubpe).

> The package is a part of the general [`ubpe`](https://github.com/Scurrra/ubpe) package, where I divided general import and implementations, because I'm planning to provide other implementations as well. So the package should not be directly installed. Please, use `pip install ubpe[native]` instead.

## Contribution

If you know how to improve the code, especially how to make it faster, fill free to contribute.
gnu-libc-dash-docset-generator 2026.1.25
Dash docset generator for GNU C Library
Requires Python: >=3.10

Dash docset generator for the
[GNU C Library](https://www.gnu.org/savannah-checkouts/gnu/libc/index.html)

### Instructions

- Download the pre-built documentation 
[](https://sourceware.org/glibc/manual/latest/html_node/libc-html_node.tar.gz)

- `gnu-libc-dash-docset-generator MANUAL_SOURCE`

    - If `pipx` is installed, you can avoid `pip install`ing anything and just
    run `pipx run gnu-libc-dash-docset-generator MANUAL_SOURCE`
    - `MANUAL_SOURCE` will be the path to the html sources, which 
    should be something like `libc/`
    - For a full set of options: `gnu-libc-dash-docset-generator -h`
nrp-cmd 0.9.0
Python and commandline client for NRP repositories
Requires Python: <3.15,>=3.12

# Python and commandline client for NRP repositories

Note: At this time, only the Invenio repositories are supported.
The client uses a pluggable architecture to support other repository types.

## Installation

```bash
uv venv --python=python3.12 nrp-cmd-venv
source nrp-cmd-venv/bin/activate
uv pip install nrp-cmd
```

Your system needs to have the `libmagic` library installed, check out the [pypi page](https://pypi.org/project/python-magic/) for installation instructions depending on your platform.

## Usage

```bash
nrp-cmd create record '{"title": "abc"}' --set r
nrp-cmd upload file @r ~/Downloads/ubuntu-24.04-desktop-amd64.iso
nrp-cmd list records "metadata.title:abc"
nrp-cmd get record @r
nrp-cmd delete record @r
```

For more details, check out the [User guide](https://nrp-cz.github.io/docs/userguide).