semvec/pypi-packages huggingface dataset:
mdformat_openmmlab 0.0.1
An mdformat plugin for...
Requires Python: >=3.7
Keywords: mdformat,markdown,markdown-it

# mdformat-openmmlab

[![Build Status][ci-badge]][ci-link]
[![PyPI version][pypi-badge]][pypi-link]

An [mdformat](https://github.com/executablebooks/mdformat) plugin for OpenMMLab standard.

## How to use it

Add the follow section to `.pre-commit-config.yaml`:

```yaml
  - repo: https://github.com/executablebooks/mdformat
    rev: 0.7.14
    hooks:
      - id: mdformat
        args: ["--number", "--table-width", "200"]
        additional_dependencies:
          - mdformat-openmmlab
          - mdformat_frontmatter
          - linkify-it-py
```

The argument `--table-width` is used to limit the max width of tables.

ATTENTION: This plugin already include all functionalities of `mdformat-gfm` and `mdformat-tables`, and is
not compatible with them, please don't install them again.

## Development

This package utilises [flit](https://flit.readthedocs.io) as the build engine, and [tox](https://tox.readthedocs.io) for test automation.

To install these development dependencies:

```bash
pip install tox
```

To run the tests:

```bash
tox
```

and with test coverage:

```bash
tox -e py37-cov
```

The easiest way to write tests, is to edit tests/fixtures.md

To run the code formatting and style checks:

```bash
tox -e py37-pre-commit
```

or directly

```bash
pip install pre-commit
pre-commit run --all
```

To run the pre-commit hook test:

```bash
tox -e py37-hook
```

## Publish to PyPi

Either use flit directly:

```bash
pip install flit
flit publish
```

or trigger the GitHub Action job, by creating a release with a tag equal to the version, e.g. `v0.0.1`.

Note, this requires generating an API key on PyPi and adding it to the repository `Settings/Secrets`, under the name `PYPI_KEY`.

[ci-badge]: https://github.com/open-mmlab/mdformat-openmmlab/workflows/CI/badge.svg?branch=master
[ci-link]: https://github.com/open-mmlab/mdformat-openmmlab/actions?query=workflow%3ACI+branch%3Amaster+event%3Apush
[pypi-badge]: https://img.shields.io/pypi/v/mdformat-openmmlab.svg
[pypi-link]: https://pypi.org/project/mdformat-openmmlab
wltr-vin 1.1.0
Extracts useful information from Vehicle Identification Number (VIN)

# WLTR VIN
<a href="https://pypi.org/project/wltr-vin/">
  <img alt="PyPI" src="https://img.shields.io/pypi/v/wltr-vin">
</a>

[![Build Status](https://travis-ci.com/walteravelino/Projetos.svg?branch=master)](https://travis-ci.com/walteravelino/Projetos)
<img src = "https://img.shields.io/github/languages/top/walteravelino/wltr-vin">
<a href="https://github.com/walteravelino/Projetos/blob/master/LICENSE"><img src = "https://img.shields.io/github/license/walteravelino/Projetos"></a>

## Autor

👤 **Walter Avelino**

- StackOverFlow [@walteravelino](https://stackoverflow.com/users/13001807/walter-avelino)
- Github: [@walteravelino](https://github.com/walteravelino)
- Linkedin: [@walteravelino](https://linkedin.com/in/walter-avelino-434197105)
- DEV: [@walteravelino](https://dev.to/walteravelino)


## 📝 Licença

Copyright © 2022 [Walter Avelino](https://github.com/walteravelino). <br />
Os projetos estão sob a licença [MIT](https://github.com/walteravelino/Projetos/blob/master/LICENSE).

Pacote para validação de código VIN (Vehicle Identification Number)

## Instalação do WLTR VIN

Para instalar o pacote:

```bash
pip install wltr-vin
```
surfvis 0.0.1
Per-baseline time/freq and Chi-Square plots
Requires Python: >=3.7

# surfvis
Create per-baseline time/frequency plots from a Measurement Set. Uses pyrap.

```
Usage: surfvis.py [options] msname

Options:
  -h, --help            show this help message and exit
  -l, --list            List Measurement Set properties and exit
  -d COLUMN, --datacolumn=COLUMN
                        Measurement Set column to plot (default = DATA)
  -f FIELD, --field=FIELD
                        Field ID to plot (default = 0)
  -s MYSPW, --spw=MYSPW
                        Comma separated list of SPWs to plot (default = all)
  -p PLOT, --plot=PLOT  Set to amp, phase, real or imag (default = amp)
  -i ANTENNA1, --i=ANTENNA1
                        Antenna 1: plot only this antenna
  -j ANTENNA2, --j=ANTENNA2
                        Antenna 2: use with -i to plot a single baseline
  --scale=SCALE         Scale the image peak to this multiple of the per-corr
                        min/max (ignored for phases)
  --cmap=MYCMAP         Matplotlib colour map to use (default = jet)
  -o FOLDERNAME, --opdir=FOLDERNAME
                        Output folder to store plots (default = msname___plots)
```

Plotting can be quite slow for large Measurement Sets. Will probably also fail if you have SPWs with different time/freq shapes. Use of the -s switch can generally get around this.

![](http://i.imgur.com/wHeA9JT.jpg)
partialunity 1.0.0
Evaluate PU interpolant
Requires Python: >=3.8

The package provide the implementation of partition of unity method.
\
\

For usage example see at: 
\

For detail about implementation see R. Cavoretto, A. De Rossi, E. Perracchione, S. Lancellotti, 
Software Implementation of the Partition of Unity Method, preprint
\
\
Cite as R. Cavoretto, A. De Rossi, E. Perracchione, S. Lancellotti, 
Software Implementation of the Partition of Unity Method, preprint