semvec/pypi-packages huggingface dataset:
django-global-log 0.0.6
A Log Tool for Django

## Django Global Log

### 注册到 `installed_apps` 中

```python
INSTALLED_APPS = [
    "corsheaders",
    "django_global_log",
    ···
]
```

### 添加 `middleware`

```python
MIDDLEWARE = [
    "corsheaders.middleware.CorsMiddleware",
    "django_global_log.middlewares.DjangoGlobalLogMiddleware",
    ···
]
```

### 使用 `celery`

```python
GLOBAL_LOG_CELERY_FUNC = "async_global_log"

def async_global_log(detail):
    DjangoGlobalLog.objects.create(**detail)
```
discotec 1.0.4
discotec classifies sound events within .wav files using machine learning.

[![Generic badge](https://img.shields.io/badge/Contributions-Welcome-brightgreen.svg)](CONTRIBUTING.md)
<a href="https://github.com/psf/black"><img alt="Code style: black" src="https://img.shields.io/badge/code%20style-black-000000.svg"></a>

# DISCO Implements Sound Classification Obediently
This tool annotates sound files using neural networks. It uses a 1D architecture based on U-Net with additional 
post-processing heuristics including a Hidden Markov Model. 

DISCO is ideal for long streams of sound that need to be classified over time, producing output fully compatible with 
The Cornell Lab of Ornithology's sound tool [RAVEN](https://ravensoundsoftware.com/). Work is currently underway to 
annotate short samples of data with a single label. DISCO began jointly with the University of Montana's [Emlen Lab](https://hs.umt.edu/dbs/labs/emlen/) as an annotator for 
Japanese and Taiwanese Rhinoceros Beetle courtship songs, but it now generalizes to any kind of recording.

## Quickstart
Install requires python version 3.8.1.
Clone this repo and run:
```
flit install -s
pip install -r requirements.txt
```
## Tutorial
Visit this [link](https://www.youtube.com/watch?v=g0rIpVOpXZ4) for a thorough setup tutorial.

Learn more about how to use the tools provided in this package [here](https://github.com/TravisWheelerLab/beetles-cnn/wiki).
mofun 1.0
Find and replace functional groups in any given periodic structure.

# MOFUN

[![MOFUN Refactor Branch Test Status](https://github.com/wilmerlab/mofun/actions/workflows/python-app.yml/badge.svg?branch=main)](https://github.com/wilmerlab/mofun/actions/workflows/python-app.yml)
[![pypi version](https://img.shields.io/pypi/v/mofun.svg)](https://pypi.org/project/mofun/)

MOFUN is a Python package that can find and replace patterns in a molecular structure, across periodic boundaries.

## Installation

Requires Python > 3.8.

```
pip install mofun
```

## Examples

```
mofun {input-structure} {output-structure} -f {find-pattern} -r {replace-pattern}
```

See [Documentation](https://wilmerlab.github.io/mofun/)
calculadoralohmz 0.0.2
Calculadora bem básica
Requires Python: >=3.8

# calculadora

Description. 
The package calculadora is used to:
	- Calculadora bem bÃ¡sica para calculo de dois valores.

## Installation

Use the package manager [pip](https://pip.pypa.io/en/stable/) to install calculadora

```bash
pip install calculadoralohmz
```

## Usage

```python
from calculadora import divisao
divisao.divisao(a,b)
```
from calculadora import multiplicacao
multiplicacao.multiplicacao(a,b)
```
from calculadora import soma
soma.soma(a,b)
```
from calculadora import subtracao
subtracao.subtracao(a,b)
```

## Author
Simon

## License
[MIT](https://choosealicense.com/licenses/mit/)
RateMySupervisor 2022.4.15.0
导师评价网备份 2020
Requires Python: >=3.6

# 导师评价网备份 2020

* [在线阅读](https://rms20.apachecn.org)

## 下载

### Docker

```
docker pull apachecn0/rate-my-supervisor
docker run -tid -p <port>:80 apachecn0/rate-my-supervisor
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install rate-my-supervisor
rate-my-supervisor <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g rate-my-supervisor
rate-my-supervisor <port>
# 访问 http://localhost:{port} 查看文档
```
PySentiStrength 1.0.1
Python 3 Wrapper for SentiStrength

# Python-SentiStrength

Python 3 Wrapper for SentiStrength.

**Note: This package has the SentiStrength JAR file built in to simplify access. However, the original author did not release the JAR free for commercial use. If you are using this for commercial purposes, please email the original author Dr. Mike Thelwall to buy the commercial license. More details about licensing at (http://sentistrength.wlv.ac.uk/).**

## Installation

You have to install `python >= 3.7` and `java JRE >= 1.8.0` first. Then, install this library with `pip`.

```sh
pip install pysenti
```

## Examples

Single string example:

```python
import pysenti

s = pysenti.get_senti('What a lovely day')
# SentiResult(positive=2, negative=-1, neutral=1)

s.scale()
# 1
s.is_positive()
# True
```

Multiple strings example:

If you have a list of strings, please use this function and don't call `get_senti` in a loop. This is because this function only opens one subprocess to process all strings in the list, whereas `get_senti` opens a new subprocess every time.

```python
import pysenti

pysenti.get_senti_list(['What a lovely day', 'I love cats'])
```

## Acknowledgments

* Big thanks to Dr. Mike Thelwall for access to SentiStrength.
waifus 1.0.0
getting some waifu pics
Keywords: waifus,python,package,library,lib,module

<p align="center">
  <img src="https://img.shields.io/pypi/v/waifus?style=flat-square" </a>
  <img src="https://img.shields.io/pypi/l/waifus?style=flat-square" </a>
  <img src="https://img.shields.io/pypi/dm/waifus?style=flat-square" </a>
</p>

---

### Code example

Example of how you can use [waifus](https://pypi.org/project/waifus/) <br>
- possible options [`only_link`, `custom_path`, `displaying`, `count`, `meow`, `nsfw`, `sleeping_time`, `deleting`]

### installing it

```shell
python -m pip install waifus
```

### executing it (for example)

```python
import waifus

waifus.module(count = 5, sleeping_time = 1)
```

### getting only a link out [`https://api.waifu.pics/sfw/neko`, `https://api.waifu.pics/nsfw/neko`, `https://api.waifu.pics/sfw/waifu`, `https://api.waifu.pics/nsfw/waifu`]

```python
import waifus

waifus.getting_url("https://api.waifu.pics/sfw/waifu")
```