semvec/pypi-packages huggingface dataset:
fudan-jwc-news 0.5.2
Read Fudan JWC news from your terminal
License: MIT
Requires Python: >=3.10,<4.0
Keywords: fudan,news

# fudan-jwc-news

Read Fudan JWC News from your terminal. 

Never check [JWC](https://jwc.fudan.edu.cn/) again!


- [fudan-jwc-news](#fudan-jwc-news)
  - [Installation](#installation)
    - [pipx](#pipx)
    - [pip](#pip)
  - [Usage](#usage)
  - [Example output](#example-output)
  - [See also](#see-also)

## Installation

### pipx

```
pipx install fudan-jwc-news
```

### pip

```
pip install fudan-jwc-news
```

## Usage

```
Usage: jwc-news [OPTIONS]

Options:
  -l, --limit INTEGER RANGE       limit the number of news  [default: 14;
                                  x<=14]
  -o, --output PATH               output file, default is stdout
  -f, --force-update              do not use cache and force update
  -v, --version                   Show the application's version and exit.
  --install-completion [bash|zsh|fish|powershell|pwsh]
                                  Install completion for the specified shell.
  --show-completion [bash|zsh|fish|powershell|pwsh]
                                  Show completion for the specified shell, to
                                  copy it or customize the installation.
  --help                          Show this message and exit.
```

## Example output
```
$ jwc-news -l 2
04-29 关于2022年春季学期复旦大学水平测试(补测试)考试通知
http://www.jwc.fudan.edu.cn/bf/be/c25325a442302/page.htm

04-29 2022年春季学期本科学生转专业报名名单
http://www.jwc.fudan.edu.cn/bf/bc/c25325a442300/page.htm

```

## See also

- https://github.com/tddschn/fudan-utils : Get your grades from command line, and more
storekit-python 0.0.2
The Storekit Python library provides support for in-app purchases and interactions with the App Store.
License: MIT
Requires Python: >=3.7

# storekit-python

[![pypi](https://img.shields.io/pypi/v/storekit-python.svg)](https://pypi.python.org/pypi/storekit-python)
[![versions](https://img.shields.io/pypi/pyversions/storekit-python.svg)](https://github.com/xiachufang/storekit-python)
[![license](https://img.shields.io/github/license/xiachufang/storekit-python.svg)](https://github.com/xiachufang/storekit-python/blob/main/LICENSE)

[简体中文](https://github.com/xiachufang/storekit-python/blob/main/README_zh.md)

storekit-python is a Python package for accessing and validating App Store in-app purchases.

## Table of Contents

- [Installation](#installation)
- [Usage](#usage)
    - [App Store Server API](#app-store-server-api)
    - [App Store Server Notifications](#app-store-server-notifications)
    - [App Store Receipts](#app-store-receipts)
- [Contributing](#contributing)
- [License](#license)

## Installation

Install via pip:

```bash
pip install storekit-python
```

## Quick Start

### App Store Server API

Get SignedTokenEncoder parameters reference: [Generating tokens for API requests](https://developer.apple.com/documentation/appstoreserverapi/generating_tokens_for_api_requests)

```python
from storekit.app_store_server_api import BaseUrl, SignedTokenEncoder, ServerAPIClient

client = ServerAPIClient(
  base_url=BaseUrl.Production,
  signed_token_encoder=SignedTokenEncoder(
    key_id="key_id",
    private_key="private_key",
    issuer_id="issuer_id",
    bundle_id="bundle_id",
  )
)

response = client.get_all_subscription_statuses("original_transaction_id")
print(response)
```

### App Store Server Notifications

[Enabling App Store Server Notifications](https://developer.apple.com/documentation/appstoreservernotifications/enabling_app_store_server_notifications)

```python
from storekit.app_store_server_notifications import ResponseBodyV2

response = ResponseBodyV2.parse_obj(request_data)
print(response)
```

### App Store Receipts

How to generate a password reference: [Generating a Shared Secret](https://developer.apple.com/help/app-store-connect/configure-in-app-purchase-settings/generate-a-shared-secret-to-verify-receipts)

```python
from storekit.app_store_receipts import ReceiptsClient, BaseUrl

client = ReceiptsClient(
    base_url=BaseUrl.Production,
    password="password",
    sandbox_client=ReceiptsClient(
        base_url=BaseUrl.Sandbox,
        password="password",
    )
)

response = client.verify_receipt("receipt_data")
print(response)
```

## Contributing

We welcome contributions of all forms! You can participate in this project by reporting issues, submitting PRs, or improving documentation.

## License

storekit-python is open-source under the [MIT License](https://github.com/xiachufang/storekit-python/blob/main/LICENSE).
DeepTpTools 1.0.4
Protein prediction package
License: MIT
Requires Python: >=3.6

# DeepTpTools
Protein prediction package


## Environmental installation
### Model Download
You can download the model in the following two ways:
1. https://drive.google.com/drive/folders/1OEKabeJmdGiGG1PJsPu0bgcE5_GVGXc9?usp=share_link
2. https://luke9012.lanzoub.com/b00r1vhre | password:ddpt

After the download is completed, pass in the folder path
`p = DeepTp(r'D:\_code\_github\DeepTpTools\drop')`

### R
R language version requires version 4.1.3 or higher
Two packages need to be installed simultaneously:
```
install.packages("protr")
install.packages("DT")
```
Set Simultaneously`R_HOME`to environment variable

### Python
Python version requires`3.6`or higher


## How to use
### If there is a protein sequence
```python
name = "Q4JB77"
seq = "MRAAVLEEYKKPLRISEVDSPSINESSEVLLQVTATGLCHGDIHIAMGEWDSQIQVNLPIILGHEVVGRVLQSNHDKIKKNDLVLVYNAFGCKNCKYCKFKEYQFCEKVKVIGVNLNGGFAEYVKIPDGDNLVRVNTSDPIKLAPLADAGLTAYNSVKDLEENSKVLIIGTGAVALIALQLLKLKNVDVTVIGENQLKLDSAEKLGADEVISIKREEDSYLSLLPGKKFDYILDYVGSTRTLAESPWLLNKKGELRIIGEFGGVLRAEEQLLVLRGLRIRGILYGSLQDLKHILDIYLKGKIDTLTTVYKLEDINEAITDVTEGKVVGRAVIVP"
p = DeepTp(r'D:\_code\_github\ProTstab2\drop')
r, r2 = p.predict(name, seq)
print(r, r2)
# 0.8722285 Thermophilic protein
```
### If there is no protein sequence, the following methods can be used
Method 1：
```python
name = "Q4JB77"
p = DeepTp(r'D:\_code\_github\ProTstab2\drop')
seq = p.get_seq_info(name)
r, r2 = p.predict(name, seq)
print(r, r2)
# 0.8722285 Thermophilic protein
```
Method 2：
```python
name = "Q4JB77"
p = DeepTp(r'D:\_code\_github\ProTstab2\drop')
r, r2 = p.predict(name)
print(r, r2)
# 0.8722285 Thermophilic protein
```
The first method is recommended here for the following reasons：
1. Due to the use of crawlers, it is not guaranteed that data can be obtained every time, and the program may crash
2. You can obtain specific protein sequence values

## Disclaimers
The applications involved in this package are for learning and communication purposes only and shall not be used for any commercial purposes. 
Any legal disputes arising from this have nothing to do with me!
lawquery 0.0.2
Query Vietnamese law documents
License: MIT

Current support documents:

- Bộ luật dân sự 2015
- Bộ luật hình sự 2015
- Bộ luật lao động 2019
- Bộ luật hàng hải Việt Nam 2015
- Bộ luật tố tụng dân sự 2015
- Bộ luật tố tụng hình sự 2015

# Installation

```bash
git clone https://github.com/Th1nhNg0/law-query
cd law-query

python -m venv .env
source .env/bin/activate

# make sure you are using the latest pip
python -m pip install -U pip setuptools wheel

pip install --no-build-isolation --editable .
```

# Usage

```py
from lawquery import Engine, list_documents

# list of document paths
document_paths = list_documents()
print(document_paths)

# create engine
engine = Engine(filepath=document_paths[0])
# print info of document
print(engine)
# print outline tree
engine.print_tree()

# query
# node_type: root,phần,chương,mục,điều,khoản,điểm
# node_id: '1','2','I','II','nhất','hai','a','b'...
results = engine.query(node_type='điều', node_id='1')
results = engine.query( node_id='1')
results = engine.query( node_type='phần')
results = engine.query( name='hôn nhân')

# query by path: from parent to child
# param is list of dict, the parameter of engine.query function
results = engine.query_by_path([
    {
        'node_type': 'phần',
        'node_id': 'hai'
    },
    {
        'node_type': 'chương',
        'node_id': 'I'
    },
    {
        'node_type': 'mục',
        'node_id': '1'
    },
    {
        'node_type': 'điều',
        'node_id': '50'
    }
])

```
ghostpip 1.1.1
A Python module for interacting with the ghost.toxinum.xyz API
License: MIT
Keywords: ghostpip api module

# GHOSTPIP

**GHOSTPIP** is a Python module that provides convenient methods for interacting with the `ghost.toxinum.xyz` API. It enables you to perform various operations such as user signup, signin, retrieving user information, fetching location details, getting SIM information, device details, balance information, and more.

## Installation

You can install **GHOSTPIP** using pip:

```shell
pip install ghostpip
```

## Usage

```python
from ghostpip import (
    signup,
    signin,
    get_user,
    get_location,
    get_sim_info,
    get_device_info,
    get_account_balance,
    submit_birth_information,
    submit_nid_information,
    simulate_talk,
    teach_chatbot
)
```

### Function Examples

Here are some examples of how to use the functions:

#### Signup a new user:

```python
signup("John Doe", "johndoe@example.com", "password123")
```

#### Signin with an existing user:

```python
signin("johndoe@example.com", "password123")
```

#### Get user information:

```python
get_user("your-api-key")
```

#### Get location details:

```python
get_location("your-api-key", "0123456789")
```

#### Get SIM information:

```python
get_sim_info("your-api-key", "0123456789")
```

#### Get device information:

```python
get_device_info("your-api-key", "0123456789")
```

#### Get account balance:

```python
get_account_balance("your-api-key", "0123456789")
```

#### Submit birth information:

```python
submit_birth_information("your-api-key", "birth-info", "dob")
```

#### Submit NID information:

```python
submit_nid_information("your-api-key", "nid-info", "dob")
```

#### Simulate talk:

```python
simulate_talk("your-api-key", "ask", "lc")
```

#### Teach chatbot:

```python
teach_chatbot("your-api-key", "ask", "ans", "lc")
```


## API Documentation

For detailed information on the API endpoints and parameters, please refer to the [ghost.toxinum.xyz API documentation](https://ghost.toxinum.xyz/docs.html).

## Contributing

Contributions to **GHOSTPIP** are welcome! If you find any issues or have suggestions for improvement, please create an issue or submit a pull request on the GitHub repository.

## Contact

- Facebook: [Mohammad Alamin](https://www.facebook.com/Illusionghost?mibextid=ZbWKwL)
- Telegram: [XYRUS INC](https://t.me/xyrusinc)
- GitHub: [@illusionghost3](https://github.com/illusionghost3)

### Thanks For Star🙏👨‍💻

[![Stargazers repo](https://reporoster.com/stars/illusionghost3/ghostpip)](https://github.com/illusionghost3/ghostpip/stargazers)

### Thanks For Fork 🙏👨‍💻

[![Forkers repo](https://reporoster.com/forks/illusionghost3/ghostpip)](https://github.com/illusionghost3/ghostpip/network/members)

## License

This project is licensed under the [MIT License](LICENSE).
coliseum 1.0.5
a simple, turn-based command line game in python
License: MIT
Requires Python: >=3.8



# coliseum

[![Documentation Status](https://readthedocs.org/projects/coliseum/badge/?version=stable)](https://coliseum.readthedocs.io/en/latest/?badge=latest)
[![PyPI](https://img.shields.io/pypi/v/coliseum?color=brightgreen)](https://pypi.org/project/coliseum/)
[![Downloads](https://static.pepy.tech/personalized-badge/coliseum?period=total&units=international_system&left_color=grey&right_color=brightgreen&left_text=Downloads)](https://pepy.tech/project/coliseum)
[![License: MIT](https://img.shields.io/badge/License-MIT-brightgreen.svg)](LICENSE)
[![Flask-Signing tests](https://github.com/signebedi/coliseum/workflows/tests/badge.svg)](https://github.com/signebedi/coliseum/actions)

simple, turn-based, in your TTY 

Read the docs at [coliseum.readthedocs.io/en/latest/](https://coliseum.readthedocs.io/en/latest/).

---
Copyright (c) 2020-23 Signe Janoska-Bedi and Jamey Kane