semvec/pypi-packages huggingface dataset:
pylc-cli 20241104
A small CLI tool to solve leetcode problems from your favorite text editor!
Requires Python: >=3.10

# PyLC

PyLC is a small CLI tool to solve leetcode problems.

## Installation

Make sure you have python installed in your system.  
Then run `pip install pylc_cli`  
After installation, the `pylc` command will be available. Run `pylc update` to populate the cache database. 

`pylc` or `pylc --help` will display all available subcommands. 

## Submitting problems to server

To submit problems to leetcode servers, the user needs to set their `csrftoken` and `session` variables in `config.toml` (located in `$HOME/.pylc`).  
To get the variables follow this [link](https://github.com/clearloop/leetcode-cli/?tab=readme-ov-file#cookies).

## Boilerplate generation

To make LSPs happy, pylc can add boilerplate code (for example, importing necessary libraries or adding header files).
Edit the `~/.pylc/inject.toml` file.

```toml
# An example
[cpp]
inject_before = ["#include <bits/stdc++.h>", "using namespace std;"]
```

## Credits

This tool is heavily inspired from [clearloop/leetcode-cli](https://github.com/clearloop/leetcode-cli).
weather-query-test 0.0.1
forecast weather
Keywords: api, weather, forecast

# weather-query
크라우드웍스 사전과제

## 환경 설정

### 1. install [rye](https://github.com/mitsuhiko/rye)

[install documentation](https://rye-up.com/guide/installation/#installing-rye)

Linux
```bash
curl -sSf https://rye-up.com/get | bash
echo 'source "$HOME/.rye/env"' >> ~/.bashrc
source ~/.bashrc
```

Windows  
see [install documentation](https://rye-up.com/guide/installation/)


### 2. Create virtual environment

1 pyproject.toml 파일을 만들고 다음과 같이 작성합니다.
```toml
# pyproject.toml
dependencies = [
    "jinja2>=3.1.3",
    "flake8>=7.1.1",
    "black>=24.10.0",
    "fastapi>=0.115.0",
    "isort>=5.13.2",
    "uvicorn>=0.31.1",
    "googletrans==4.0.0rc1",
    "ipython>=8.28.0",
    "python-dotenv>=1.0.1",
    "python-multipart>=0.0.12",
    "requests>=2.32.3",
    "markdown>=3.7",
]
```

2. 가상환경을 만듭니다.

```bash
rye sync
```

## 코드 구현
```python
import weather_query

result = weather_query.query("내일 서울 날씨 어때?")

print(result)

```
실행하면 다음과 같이 문자열이 출력됩니다.

```
2024년 11월 05일 서울 날씨는 구름조금입니다.
```

## 웹 서버 실행하기
API 서버는 다음과 같이 실행합니다.
```sh
rye run uvicorn app.server:app --host=127.0.0.1 --port=8000 --reload
```

### 폴더 구성
```
├── app
│   ├── __pycache__
│   ├── server.py
│   └── templates
├── main.py
├── pyproject.toml
├── requirements-dev.lock
├── requirements.lock
├── tests
│   ├── __pycache__
│   └── test_query.py
└── weather_forecast
    ├── __init__.py
    ├── __pycache__
    ├── client.py
    ├── preprocess.py
    └── setting.py
```
ts-soup 0.2.5
date series data synchronization

```
🕙 分享是一种美德，右上随手点个 🌟 Star，谢谢
```
 
**温馨提醒**
 
1. 本项目仅适用学习交流
2. 本项目不在任何平台出售,如有发现请积极举报<br/>
3. 为了更好的体验，友情提示此项目是一个全栈项目，认真刻苦的掌握它，熟练掌握后你就比较牛掰了<br/>
4. 不要只是白嫖 ,如果帮到你了麻烦**点个Star**<br/>
5. 发现有问题？添加下方微信客服一起探讨，或者直接提Issues
 
  
 
## 项目简介
 
ts-soup 项目是一款时序数据同步软件，提供自动记录各类型数据同步时间等多种功能，为用户提供便捷高效的体验