semvec/pypi-packages huggingface dataset:
spotify-skipper 1.0.2
Blacklist artists and songs, no login needed.
Keywords: spotify,skip

# spotify-skipper
##### A python program to automatically skip unwanted songs.

## Installation

### Python Package

You can install the [pypi](https://pypi.org/project/autoskip/) package using `pip3 install autoskip`. 

Make sure wherever it is installed to is on your path. You can check with `pip3 show autoskip`.

## Usage

```bash
autoskip # Normal usage
autoskip -h # See help
```
Using any flags will not start the CLI, to make scripting easier. Use --run to prevent this.

|  Short |  Long             | Description                                                 | 
|--------|-------------------|-------------------------------------------------------------|
| -h     | --help            | Shows CLI help and exits                                    |
| -s     | --skip            | Skips current track                                         |
| -wls   | --whitelist-song  | Toggle whitelist for current song                           |
| -wla   | --whitelist-artist| Toggle whitelist for current artist                         |
| -bls   | --blacklist-song  | Toggle blacklist for current song                           |
| -bla   | --blacklist-artist| Toggle blacklist for current artist                         |
| -r     | --run             | Run the CLI regardless of flags                             |
Hillo232 0.0.1
A google web package
Requires Python: >=3.6

# About
---

Write a detailed description of your Python Package here!

Need a Markdown Guide? You can find a guide at [Github-flavored Markdown](https://guides.github.com/features/mastering-markdown).

You can also find more information about packaging at [Python Packaging User Guide](https://packaging.python.org/tutorials/packaging-projects/).
rsa3 3.0.0.post20201106
Python Representational Similarity Analysis (RSA)
Keywords: neuroscience

# Representational Similarity Analysis 3.0

[![Documentation Status](https://readthedocs.org/projects/rsa3/badge/?version=latest)](https://rsa3.readthedocs.io/en/latest/?badge=latest)
[![PyPI version](https://badge.fury.io/py/rsa3.svg)](https://badge.fury.io/py/rsa3)
[![Codacy Badge](https://app.codacy.com/project/badge/Grade/626ca9ec9f75485a9f73783c02710b1f)](https://www.codacy.com/gh/rsagroup/pyrsa?utm_source=github.com&amp;utm_medium=referral&amp;utm_content=rsagroup/pyrsa&amp;utm_campaign=Badge_Grade)
[![CodeFactor](https://www.codefactor.io/repository/github/rsagroup/pyrsa/badge)](https://www.codefactor.io/repository/github/rsagroup/pyrsa)
[![codecov](https://codecov.io/gh/rsagroup/pyrsa/branch/master/graph/badge.svg)](https://codecov.io/gh/rsagroup/pyrsa)


Conceived during the RSA retreat 2019 in Blue Mountains,
this version replaces the 2013 version of pyrsa previously at ilogue/pyrsa.

[Documentation](https://rsa3.readthedocs.io/)


#### Getting Started

The easiest way to install pyrsa is with pip:

```sh
pip install rsa3
```

here is a simple code sample:

```python
import numpy, pyrsa
data = pyrsa.data.Dataset(numpy.random.rand(10, 5))
rdms = pyrsa.rdm.calc_rdm(data)
pyrsa.vis.show_rdm(rdms)
```
treeparser 0.1.1
parsing simple strings into trees
Requires Python: >=3.6

# Tree Parser
![build](https://github.com/robert-lieck/treeparser/workflows/build/badge.svg)
[![PyPI version](https://badge.fury.io/py/treeparser.svg)](https://badge.fury.io/py/treeparser)
[![License: GPL v3](https://img.shields.io/badge/License-GPLv3-blue.svg)](https://www.gnu.org/licenses/gpl-3.0)

A simple tree parser for trees in bracket notation written in python. For example the following code (with default values for `fontdict` and `textkwargs` explicitly specified)

```python
from treeparser import TreeParser
import matplotlib.pyplot as plt
fig, ax = plt.subplots(1, 1, figsize=(20, 10))
string = "[C[C[C[C[C][C[G7[Dm7][G7]][C]]][G[G[D7[Am][D7]][G]][G[D7[Am[CM7][Am]][D7]][G]]]][C[C[Bo7[Dm[C#o7][Dm]][Bo7]][C]][C[G7[Dm7[FM7][Dm7]][G7]][C [C][C[G7[FM7[C7][FM7]][G7[G7[F#o7][G7[Fm6][G7]]][G7[G7[G64][G7[G47][G7]]][G7[G47[G64[F#o7][G64]][G47]][G7]]]]][C[G7[C64[C7][C64]][G7]][C]]]]]]]]"
parser = TreeParser(string, True)
parser.plot(ax=ax, padding=1, fontdict={'fontsize': 12}, textkwargs={'bbox': {'facecolor': 'red', 'pad': 10}, 'style': 'italic'})
```
results in: ![tree](tree_example.png)