semvec/pypi-packages huggingface dataset:
cff2toml 3.2.2
A module to synchronize metadata between TOML and CFF files, including between pyproject.toml and CITATION.cff files.
Requires Python: >=3.8

# cff2toml

A module to synchronize metadata between TOML and CFF files, including between pyproject.toml and CITATION.cff files.

[![PyPI - Version](https://img.shields.io/pypi/v/cff2toml.svg)](https://pypi.org/project/cff2toml)
[![PyPI - Python Version](https://img.shields.io/pypi/pyversions/cff2toml.svg)](https://pypi.org/project/cff2toml)

---

**Table of Contents**

- [Installation](#installation)
- [Usage](#usage)
- [Limitations](#limitations)
- [Roadmap](#roadmap)
- [License](#license)

## Installation

```console
pip install cff2toml
```

## Usage

```console
cff2toml --help
```

This package offers a CLI and classes to manipulate metadata in CFF and TOML files.

One common use case is to synchronize metadata between pyproject.toml and CITATION.cff files in a Python project.

### Viewing metadata in CITATION.cff and pyproject.toml

Here is how you view the version in both CITATION.cff and pyproject.toml,
assuming they are in the same directory

```
cff2toml view version
```

You can also view other common metadata. See the help.

### Changing metadata in both CITATION.cff and pyproject.toml

Here is how you change the version in both CITATION.cff and pyproject.toml,
assuming they are in the same directory

```
cff2toml change version 2.30.1
```

You can also change other common metadata. See the help.

## Limitations

The tool is in early and active development, so it should not be used yet for production systems. The CLI only supports version and license at the moment, but the underlying libraries support more.

## Roadmap

1. Improve CLI tool to view and change other metadata fields.
2. Improve documentation of the underlying classes.
3. Fix the output order so that it creates a more useful semantic ordering of propreties (not alphabetical).

## License

`cff2toml` is distributed under the terms of the [Apache 2.0](https://spdx.org/licenses/Apache-2.0.html) license

## Contribution

Contributions in the form of feature requests, bug reports, bug fixes, tests, and feature implementations are welcome. To contribute code, please fork the project, and then do a pull request.

### Developer Notes

#### Buildiing Locally

To build the tool locally, please follow the general advice from [here](https://packaging.python.org/en/latest/tutorials/packaging-projects/).

```
python3 -m pip install --upgrade build
python3 -m build
```

#### Deploying

To deploy the tool, use the Github Action defined in .github/workflows/python-publish.yml
komodo-sdk 0.1.4
Komodo SDK
Requires Python: >=3.9

# Komodo Package

This is Komodo SDK package.

## Pushing to PyPi

```bash
python3 -m build
python3 -m twine upload dist/*
```

## Appliances

- [x] Sample - 10080
- [x] Conexio - 11080
- [x] Finance - 12080
- [x] Citibank - 13080
- [x] DocWriter - 14080
noseOfYeti 2.4.9
A custom python codec that provides an RSpec style dsl for python
Requires Python: >=3.8
Keywords: bdd, rspec, spec

Nose of Yeti
============

This is a project creates a custom Python ``codec`` that lets the developer write
their tests using an `RSpec <https://rspec.info>`_ inspired DSL (i.e. ``describe``
and ``it`` blocks).

It uses the fact that python allows the registration of a
`codec <http://docs.python.org/library/codecs.html>`_ that can be used
to read in source code and modify it at import time.

NoseOfYeti uses this technique to find files with a particular coding declaration
on the first line of a file to turn the rspec inspired DSL into ordinary python
that is then executed as if it were written like that in the first place.

The original idea comes from `@fmeyer <https://github.com/fmeyer>`_ who wrote this
`blog post <https://web.archive.org/web/20120405004819/http://fmeyer.org/en/writing-a-DSL-with-python.html>`_
and a simple `proof of concept <https://github.com/fmeyer/pydsl>`_ before it was
picked up and worked on by `@hltbra <https://github.com/hltbra>`_
in `this repo <https://github.com/fmeyer/yeti>`_.

`@delfick <https://github.com/delfick>`_ discovered this work in 2010 and over the
following decade plus has improved on the concept, giving it more features and
integration with python tooling.

The documentation can be found at http://noseofyeti.readthedocs.io and the code
over at https://github.com/delfick/nose-of-yeti.

Updating nose-of-yeti version
-----------------------------

It is recommended any .pyc files are removed when NoseOfYeti is upgraded.

The Python interpreter skips the translation process if it
sees a .pyc file (unless the .py file has changed since the .pyc file was
created). This means that any changes in the translation process won't apply
until either the .pyc files are removed or all the .py files have been changed.
text2img-bot 0.2.0
Delta Chat bot to generate images from text prompts
Requires Python: >=3.8
Keywords: deltachat, bot

<img height="180" width="180" src="https://github.com/deltachat-bot/text2img-bot/raw/main/avatar.jpeg">

# Text To Image Bot

[![Latest Release](https://img.shields.io/pypi/v/text2img-bot.svg)](https://pypi.org/project/text2img-bot)
[![CI](https://github.com/deltachat-bot/text2img-bot/actions/workflows/python-ci.yml/badge.svg)](https://github.com/deltachat-bot/text2img-bot/actions/workflows/python-ci.yml)
[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)

A text-to-image generator bot for Delta Chat. Generate images from any text prompt.

## Install

```sh
pip install -U text2img-bot
```

## Usage

To configure the bot:

```sh
text2img-bot init bot@example.org SuperHardPassword
```

**(Optional)** To customize the bot name, avatar and status/signature:

```sh
text2img-bot config selfavatar "/path/to/avatar.png"
text2img-bot config displayname "Text To Image"
text2img-bot config selfstatus "Hi, send me some text message to generate an image"
```

Finally you can start the bot with:

```sh
text2img-bot serve
```

To see the available options, run in the command line:

```
text2img-bot --help
```