semvec/pypi-packages huggingface dataset:
search-engine-tool-vito-0.3.0 0.3.0
搜索引擎API Bing / Google / Yahoo
License: MIT

# 項目說明
https://github.com/vito1317/search-engine-tool

項目的 Python 版本。原项目使用 Node + Puppeteer，Python 版本使用 Selenium。

## 安裝
```bash
pip install search-engine-tool-vito
```
#使用 
```python 
from search_engine_tool import bing def test_bing(): try: data = bing.search("台灣天氣") for d in data: print(d) except Exception as e: print(e) if __name__ == '__main__': test_bing() 
```
#返回格式 
```python 
[ { "abstract": "Web目前天氣. PM2:04. 84° F. RealFeel® 93°. RealFeel Shade™ 89°. 空氣品質 不佳. 風 西南偏西 6英里/小时. 風速 6英里/小时. 陰 更多詳情.", "href": "https://www.accuweather.com/zh/cn/shenzhen/58194/weather-forecast/58194", "title": "台灣, 台北市, 台灣 三日天氣預報 | AccuWeather" }, ... ]
``` 
#支持搜尋引擎 
```
Bing Google (需要调用方自身能够访问) Yahoo 
```
 #Todo 
 ``` 
 1 处理人机验证 2 支持翻页参数 3 支持 Badiu / Sogou / so.cn 国内搜索网站 4 百度百科 5 wikipedia 支持
```
 # search-engine-tool-vito
cluster-ping 0.1.1
Simple script to ping given clusters using a given kube config. Results are save to a yaml file in /tmp
License: MIT
Requires Python: <4.0,>=3.9

# Cluster_ping

This is a simple script to check if the user defined in a given kube config can ping the given cluster.
The result are currently saved to a yaml file in the operating systems temporary directory.

## Usage
### Installation
It is recommended to use [pipx](https://pipx.pypa.io/latest/installation/) to manage the installation.
```sh
pipx install cluster_ping
```

The cluster_ping command should then be in the path.
```sh
cluster_ping --help
```
This will list the help and prove the installation was complete.

By running the cluster_ping with the path to a kude config and the name of a cluster a yaml file is created with the results of the ping.
This file is created in the standard temporary directory for the OS.
On Linux this is `/tmp/`.
```sh
cluster_ping <Path/to/kube/confing> <Cluster Name>
```

## Development

### Changelog
The change log is managed by [towncrier](https://towncrier.readthedocs.io).

### Git Hooks
The use of pre-commit is used to set up git hooks.
Use `pre-commit install` to install the hooks.

To run the hooks outside a commit using `pre-commit run -a`.

### Testing
`pytest` is the test runner.
Run tests with `pytest`.

## Release Steps
1. Create a release branch
1. Run `towncrier build --draft` and review the outpout.
1. Check that the verion in the top level __init__.py file is correct. `bat cluster_ping/__init__.py`
1. Run `towncrier build` to update the change log
1. Check the changes in the `CHANGELOG.md`
1. Check in the updates to the Change log.
1. Publish to pypi `poetry publish --build`
1. Tag the branch with the release vesion.
1. Merge the release branch into main.
1. push change to remote
1. push release tag `git push origin <tag>
search-engine-tool-vito 0.3.0
搜索引擎API Bing / Google / Yahoo
License: MIT

# 項目說明
https://github.com/vito1317/search-engine-tool

項目的 Python 版本。原项目使用 Node + Puppeteer，Python 版本使用 Selenium。

## 安裝
```bash
pip install search-engine-tool-vito
```
#使用 
```python 
from search_engine_tool import bing def test_bing(): try: data = bing.search("台灣天氣") for d in data: print(d) except Exception as e: print(e) if __name__ == '__main__': test_bing() 
```
#返回格式 
```python 
[ { "abstract": "Web目前天氣. PM2:04. 84° F. RealFeel® 93°. RealFeel Shade™ 89°. 空氣品質 不佳. 風 西南偏西 6英里/小时. 風速 6英里/小时. 陰 更多詳情.", "href": "https://www.accuweather.com/zh/cn/shenzhen/58194/weather-forecast/58194", "title": "台灣, 台北市, 台灣 三日天氣預報 | AccuWeather" }, ... ]
``` 
#支持搜尋引擎 
```
Bing Google (需要调用方自身能够访问) Yahoo 
```
 #Todo 
 ``` 
 1 处理人机验证 2 支持翻页参数 3 支持 Badiu / Sogou / so.cn 国内搜索网站 4 百度百科 5 wikipedia 支持
```
 # search-engine-tool-vito
svstojpg 0.1.0
Here is an early file processing tool that uses deep learning methods to analyze pathological sections. Its specific function is to divide a larger SVS file (about several GB) into smaller JPG files, providing the material needed for deep learning. The project is still under development.
License: MIT
Requires Python: >=3.10
Keywords: svs, jpg

# A tool for converting large SVS files into segmented small JPG/PNG files by OpenSlide(developing)

Here is an early file processing tool that uses deep learning methods to analyze pathological sections. Its specific function is to divide a larger SVS file (about several GB) into smaller JPG files, providing the material needed for deep learning. The project is still under development.

The expected goal to be achieved is:

* Specify the selected SVS format file via the command line or search for all SVS format files in the specified directory, and designate the generation directory and format.

* Encapsulate the code to create a software or tool package.

* Add post-processing tools for the generated images, such as format conversion tools.

* Provide multi-opening functionality, while also offering multi-threaded processing.

***
If you are interested in this project or have suggestions, please feel free to contact me.

my email:jiaohongbao04@gmail.com

*As I am still an undergraduate student who has not yet been recommended for postgraduate studies, my academic workload is heavy. Please forgive me if I do not reply to emails for a long time.*

*write in 2024/10/4*
dj-config 0.0.1
This is a fork of the Django library for Heroku apps.
License: MIT


dj_config (Python Library)
==============================
.. image:: https://img.shields.io/pypi/v/dj-config.svg
    :target: https://pypi.python.org/pypi/dj-config
    :alt: Latest Version

This is a Django library for Heroku applications that ensures a seamless deployment and development experience.

This library provides:

-  Settings configuration (Static files / WhiteNoise).
-  Logging configuration.

--------------

Django 4.0 is targeted, but older versions of Django should be compatible.

Usage of dj_config
----------------------

In ``settings.py``, at the very bottom::

    …
    # Configure Django App for Heroku.
    import dj_config
    from dotenv import load_dotenv
    load_dotenv()  # take environment variables
    django_xconfig.settings(locals())

This will automatically configure ``DATABASE_URL``, ``ALLOWED_HOSTS``, WhiteNoise (for static assets), Logging, and Heroku CI for your application.

**Bonus points!** If you set the ``SECRET_KEY`` environment variable, it will automatically be used in your Django settings, too!

Disabling Functionality
///////////////////////

``settings()`` also accepts keyword arguments that can be passed ``False`` as a value, which will disable automatic configuration for their specific areas of responsibility:

- ``databases``
- ``staticfiles``
- ``allowed_hosts``
- ``logging``
- ``secret_key``