semvec/pypi-packages huggingface dataset:
vsco-dl 0.3.4
Tool for downloading VSCO user images and journals
Requires Python: >=3.5
Keywords: vsco dl scrape download image

# vsco-dl

vsco-dl allows you to scrape and download a VSCO user's images/videos and journals.

### Installation

To install vsco-dl:

```bash
$ pip install vsco-dl
```

To update vsco-dl:

```bash
 $ pip install vsco-dl --upgrade
```


## Usage

```bash
 # Download a user's images/videos
 $ vsco-dl -i <username>
 # Download a user's journals
 $ vsco-dl -j <username>
 # Using both at once is fine
 $ vsco-dl -ij <username>
```

Images are by default downloaded into `./<username>`. You can change this with the `-o` option.
This option also affects journal downloads, which by default downloads into `./<username>/journal/`.


You may specify a file as input. This file must contain one username per line. Blank lines are skipped.
```
 $ vsco-dl -i -f <filename>
```


## Options

|Option|Description|
|---|---|
|-i, --images|Scrape and download user's images/videos
|-j, --journals|Scrape and download user's journals
|-f, --filename|Specify filename containing multiple usernames to download
|-o, --output|Set output directory for user. `%u` will be replaced by the username
|-w, --workers|Set max download workers (default is 5)
|-h, --help|Print help


## License

This project is licensed under the GNU GPLv3 License - see [LICENSE](LICENSE) for details
gitlabtree 0.1.2
CLI tool for gathering GitLab information in tree format
Requires Python: >=3.8,<4.0

# GitLab🌲

GitLabTree is a CLI tool for retrieving information from a GitLab server. Mainly in a tree format, as the name suggests.


## Install

```
pip install gitlabtree
```

From source:
```
git clone
cd gitlabtree
poetry install
```

## Features

### Help

![help](https://raw.githubusercontent.com/INSRapperswil/gitlabtree/main/doc/imgs/gitlabtree_help.png)

### Permissions

![help](https://raw.githubusercontent.com/INSRapperswil/gitlabtree/main/doc/imgs/gitlabtree_permissions.png)

### Pipeline

![help](https://raw.githubusercontent.com/INSRapperswil/gitlabtree/main/doc/imgs/gitlabtree_pipeline.png)

### Runners

![help](https://raw.githubusercontent.com/INSRapperswil/gitlabtree/main/doc/imgs/gitlabtree_runners.png)

### Visibility

![help](https://raw.githubusercontent.com/INSRapperswil/gitlabtree/main/doc/imgs/gitlabtree_visibility.png)
tdmctl 0.1.3
command line tool client for TouDoum-Framework
Requires Python: >=3.8,<4.0
Keywords: toudoum,framework,cli,client,tool,tdmctl,management

# tdmctl Cli for management of TouDoum-Framework

## Sample of config file
```yaml
current_context: cluster1
context:
    cluster1: 
        host: localhost
        user: admin
        pass: admin
```
## .tdmctl folder structure
```yaml
.tdmctl:
  config.yml:
  modules:
    <context-name1>:
      <module-name1>:
        main.py:
    <context-name2>:
      <module-name1>:
        main.py:
      <module-name2>:
        main.py:
```
nbib 0.4.0
PubMed nbib citation format parser
Requires Python: >=3.6

# nbib

A parser of the nbib citation format exported by PubMed & other NCBI tools. 

## About
`nbib` is opinionated in what data it parses and how it is structured, with the aim of supporting the most common use 
cases. Unlike other parsers, which produce "flat" data (i.e. string key-value pairs), `nbib`:

* Parses strings into their correct data type, as possible
* Creates hierarchical and list objects when appropriate

## Install

Install the latest production from [PyPi](https://pypi.org/project/nbib/):
```bash
pip install nbib
```

To install the latest dev version:

```bash
pip install git+https://github.com/holub008/nbib.git
```

## Using

### Example
```python
import nbib
refs = nbib.read("""PMID- 1337\nTI  - `nbib` Rocks!\n\n""")
```

### General

`nbib` does:

* Provide parsing of both nbib files (`read_file()`) and strings (`read()`)
* Guarantee that the output format will remain backwards compatible, within a major release
    * The type of an attribute will never change within a major release
    * An attribute will never change name within a major release
    * New attributes may be added with a minor release
* Guarantee that the order of output refs matches the incoming order. Moreover, this holds for all list attributes
(e.g. authors)

`nbib` does not:

* Allow users to customize parsing methods
    * `nbib` opines that performing the "obvious" parsing covers 99% of use cases, so don't push this work onto the 
    client 
* Play nicely with improperly formatted files - exceptions are aggressively thrown for unexpected inputs
    * Given PubMed is effectively the sole producer of these files, the risk is minimal
    * Please report any issues encountered! 
* Have great run time performance
    * As of writing, a 10,000 ref file (PubMed max export size) of 829K lines took 9.2 seconds on a standard laptop.
    For comparison, the ris parsing package `rispy`, which produces flat string data, took 2.2 seconds for 10K refs 
    (670K lines).
    * If your use case needs faster performance, please file an issue!
    
## Developing

Issues and pull requests are always welcome.

### Testing
To set up the project:

```bash
pipenv install --dev
```

To run tests:

```bash
pipenv run python -m pytest
```
basicsound 0.0.1
Sound synthesizer that plays multivoice sound by frequency, duration and volume, or through ANSI music/music markup language.
Requires Python: >=3.7
Keywords: sound,audio,ansi music

The basicsound package brings your Python's sound capabilities on a par with what you could do in BASIC on a Tandy 1000. 
Generate tones and noise on the fly and play music markup language.
This package is a spin-off of PC-BASIC, see pc-basic.org