semvec/pypi-packages huggingface dataset:
flake8-cached2 0.0.3
A wrapper around flake8's cli that uses cache at file level
License: MIT
Requires Python: >=3.8,<4.0
Keywords: flake8

# Overview

A wrapper around flake8's cli that caches results between runs at file level.

This project was generated with [cookiecutter](https://github.com/audreyr/cookiecutter) using [jacebrowning/template-python](https://github.com/jacebrowning/template-python).

[![Unix Build Status](https://img.shields.io/travis/com/jnoortheen/flake8-cached.svg?label=unix)](https://travis-ci.com/jnoortheen/flake8-cached)
[![Windows Build Status](https://img.shields.io/appveyor/ci/jnoortheen/flake8-cached.svg?label=windows)](https://ci.appveyor.com/project/jnoortheen/flake8-cached)
[![Coverage Status](https://img.shields.io/coveralls/jnoortheen/flake8-cached.svg)](https://coveralls.io/r/jnoortheen/flake8-cached)
[![Scrutinizer Code Quality](https://img.shields.io/scrutinizer/g/jnoortheen/flake8-cached.svg)](https://scrutinizer-ci.com/g/jnoortheen/flake8-cached)
[![PyPI Version](https://img.shields.io/pypi/v/flake8-cached.svg)](https://pypi.org/project/flake8-cached)
[![PyPI License](https://img.shields.io/pypi/l/flake8-cached.svg)](https://pypi.org/project/flake8-cached)

# Setup

## Requirements

* Python 3.6+

## Installation

Install it directly into an activated virtual environment:

```text
$ pip install flake8-cached
```

or add it to your [Poetry](https://poetry.eustace.io/) project:

```text
$ poetry add flake8-cached
```

# Usage

After installation, the package can imported:

```shell
# it accepts all arguments as flake8
$ flake8-cached .
```

# Note

It creates cache files under `.cache/flake8` under the project directory. 
It is not cleaned up even if there is some config or python binary changes. 
Please remove the folder and re-run if you get stale results.
It is a simple cache implementation intended to be used during development.
manydo 0.1.6
Dead-simple parallel execution.
License: MIT
Requires Python: >=3.6,<4.0
Keywords: parallelism,multithreading

# manydo

Dead-simple parallel execution with a loading bar sprinkled on top.

## Installation

`pip install manydo`. Or, better for you, use [Poetry](python-poetry.org/): `poetry add manydo`.

## Usage

`manydo` is simple. All you need is `map`:

```python
from manydo import map

map(lambda x: x + 3, [1, 2, 3]) # [4, 5, 6]
map(function, iterable, num_jobs=16) # try not to burn your CPU
map(function, iterable, loading_bar=False)
map(function, iterable, desc='Passes arguments to tqdm')
```

## Related projects

[pqdm](https://github.com/niedakh/pqdm) is very similar, but didn't work for me ¯\\\_(ツ)\_/¯
flake8-cached-frosty00 0.0.4
A wrapper around flake8's cli that uses cache at file level
License: MIT
Requires Python: >=3.8,<4.0
Keywords: flake8

# Overview

A wrapper around flake8's cli that caches results between runs at file level.

This project was generated with [cookiecutter](https://github.com/audreyr/cookiecutter) using [jacebrowning/template-python](https://github.com/jacebrowning/template-python).

[![Unix Build Status](https://img.shields.io/travis/com/jnoortheen/flake8-cached.svg?label=unix)](https://travis-ci.com/jnoortheen/flake8-cached)
[![Windows Build Status](https://img.shields.io/appveyor/ci/jnoortheen/flake8-cached.svg?label=windows)](https://ci.appveyor.com/project/jnoortheen/flake8-cached)
[![Coverage Status](https://img.shields.io/coveralls/jnoortheen/flake8-cached.svg)](https://coveralls.io/r/jnoortheen/flake8-cached)
[![Scrutinizer Code Quality](https://img.shields.io/scrutinizer/g/jnoortheen/flake8-cached.svg)](https://scrutinizer-ci.com/g/jnoortheen/flake8-cached)
[![PyPI Version](https://img.shields.io/pypi/v/flake8-cached.svg)](https://pypi.org/project/flake8-cached)
[![PyPI License](https://img.shields.io/pypi/l/flake8-cached.svg)](https://pypi.org/project/flake8-cached)

# Setup

## Requirements

* Python 3.6+

## Installation

Install it directly into an activated virtual environment:

```text
$ pip install flake8-cached
```

or add it to your [Poetry](https://poetry.eustace.io/) project:

```text
$ poetry add flake8-cached
```

# Usage

After installation, the package can imported:

```shell
# it accepts all arguments as flake8
$ flake8-cached .
```

# Note

It creates cache files under `.cache/flake8` under the project directory. 
It is not cleaned up even if there is some config or python binary changes. 
Please remove the folder and re-run if you get stale results.
It is a simple cache implementation intended to be used during development.
image-viewer-mk2 1.0.0
Image viewer for spectral images
License: MIT
Requires Python: >=3.7

# Image viewer Mk2
Viewer for spectral images, in particular suitable from multispectral optoacoustic tomography.

![Screenshot of the image viewer.](doc/screenshot.png)


## Installation

```
pip install image-viewer-mk2==1.0.0
```

See [dependencies](https://github.com/jankukacka/image_viewer_mk2/blob/master/dependencies.md) for versions of dependency libraries that were tested with this software but are not strictly required during installation.
See [releases](https://github.com/jankukacka/image_viewer_mk2/releases) for older versions.

## Usage

**From command line as a standalone application.**
```
> imvmk2 [-i filename] [-c config_filename] [-d (debug)]
```

**From within python scripts and interactive sessions.** The viewer can be either used as an interactive image viewer, giving the user the ability to manually adjust the settings. The rendered image is returned back so that it can be further used inside the script.
```python
import image_viewer_mk2.app as imv

img = np.zeros((height, width, channels))
render = imv.start(image=img)
```

Alternatively, it can be used to apply existing configuration and directly return a rendered image without opening the interactive GUI:
```python
import image_viewer_mk2.app as imv

img = np.zeros((height, width, channels))
render = imv.render(image=img, config_filename='config.json')
```

Configuration files can be saved from the interactive GUI or they can be returned as a second return value in the script by passing parameter `return_config=True` to the call `imv.start()`.


## Troubleshooting

```
TclError: image "pyimageXX" doesn't exist
```
When using in interactive session, all other matplotlib figures have to be closed.

## Credits
This software reuses code and icons produced by: Alistair Muldal, cilame, Benjamin Johnson, Remin Emonet, [Icon home](https://www.flaticon.com/authors/icon-home), [Gregor Cresnar](https://www.flaticon.com/authors/gregor-cresnar), [Freepik](https://www.flaticon.com/authors/Freepik), [Google](https://www.flaticon.com/authors/google), Uptal Barman, [Arkinasi](https://www.flaticon.com/authors/arkinasi), [Royyan Wijaya](https://www.flaticon.com/authors/royyan-wijaya), and Pancracysdh.

## License
The software is provided under the [MIT open license](LICENSE.txt).

## Citation
If you use this software for your research, please cite it as:
```
Kukačka, Jan (2021). Image Viewer MK2 (v1.0.0) [Computer software]. https://github.com/jankukacka/image_viewer_mk2
```
ggci 1.2.17
GitLab Google Chat Integration
License: MIT
Requires Python: >=3.7,<4.0

# Gitlab Google Chat Integration

A Python Flask web application that forwards webhook requests
from GitLab to Google Chat.

![GGCI showcase](https://raw.githubusercontent.com/lukany/ggci/cb0886eb6594e36c5e56e54f00dbfdb71d3d8629/showcase.png)

## Installation

`ggci` is available as a Python package
on [PyPI](https://pypi.org/project/ggci).
It can be installed via standard package managers in Python, e.g. pip:

```sh
pip install ggci
```

## Usage

`ggci` provides a standard Flask application factory `create_app()`:

```python
from ggci import create_app

app = create_app()
```

For how to use this application factory refer to the official [Flask
documentation](https://flask.palletsprojects.com/en/1.1.x/).

## Configuration

There are several ways how `ggci` can be configured.

### YAML config (default)

By default `create_app()` looks for a YAML configuration file specified
by `GGCI_CONFIG` environment variable.
Example config:

```YAML
ggci_secret: xxxxxxx

user_mappings:  # OPTIONAL, used for mentions; key: GitLab ID, val: Google Chat ID
  5894317: 120984893489384029908  # Gandalf
  4985120: 109238409842809234892  # Chuck Norris
```

### Config Object

Alternatively, `create_app()` also accepts optional argument `config` of type
`ggci.Config`.

```python
from ggci import Config, create_app

config = Config(
    ggci_secret='xxxxxxx',
    user_mappings={
        5894317: 120984893489384029908,  # Gandalf
        4985120: 109238409842809234892,  # Chuck Norris
    },
)

app = create_app(config=config)
```

## Features

### Merge Request Events Notifications

Notifications for merge requests actions.
All notifications for one MR are posted to the same thread (identified
by merge request ID).
Supported actions:

- *open*: includes link with title, event author, mentions of assignees
  and description
- *approved*: includes link and event author
- *unapproved*: includes link and action author
- *update of assigness*: includes link and mentions of current assignees
- *merged*: includes link and action author
- *closed*: includes link and action author
- *reopened*: includes link and action author