semvec/pypi-packages huggingface dataset:
doqs 0.0.0
Official python SDK for doqs.dev

# doqs.dev python SDK

This is the officially maintained doqs.dev python SDK. 

It is currently a placeholder as the main SDK is under development.



## What is doqs?

[doqs is a platform to fill PDF templates](https://doqs.dev) with the data you provide on an API call.
The templates can be configured via our [template editor in the dashboard](https://app.doqs.dev).


## Documentation
Have a look at out [API documentation](https://docs.doqs.dev)


## Usage
SDK is currently under construction. We will provide this section soon.
meobook 0.1.1
Module to search and download a book from the internet
Keywords: module to download pdf ,python download book,pdf downloader,book search engine module

# MeoBook
A module to search and download a book from the internet

## Description
This is a package for searching a book and downloading it from the internet

## Installation
```bash
pip install meobook
```
## Usage
```Python
from meoBook import MeoBook
meobook = MeoBook()
#the search method will return maximum of 5 books by default in a list of Book object 
list_of_book = meobook.search_book("git hub cheat sheet")

#Download one book
book1 = list_of_book[0].download("/your/destination/path")


#
```
## Docs
### Methods in MeoBook object
```python
self.search_book(keyword, limit=5)
```
```limit``` parameter limits the return results from ```self.search_book``` function
### Methods in Book object

```download(directory) ``` method will download the book in the directory which is provided with the title of the book as a file name
```python
self.download('destination/directory/') 
```
### Book object attributes
```self.title``` : Title of the books. (str)  
```self.description```: A short description of the book.(str)  
```self.link```: link of the book (str).  
```self.size```: size of the book in bytes (int).  
```self.size_mb```: Size of the book in MegaByte. (float).   
```self.page_numer```: Page number. (may be none because the information is missing) (int)


## Credits
Tina Hubert Ratolojanahary (rtinahubert@gmail.com, https://tina-rt.netlify.app)

Made in Madagascar
paper-secret 0.1.3
Shamir Secret Sharing on paper using gfshare
Requires Python: >=3.10

# Paper-Secret

Shamir Secret Sharing on paper using gfshare.

## Installation

### PyPi

* https://pypi.org/project/paper-secret/

### Dependencies

Required and optional dependencies with example how to install them for Arch Linux.

`gfshare` is required to split (`enpaper`) and merge (`depaper`) the secret.
See `man gfshare` for an explanation of Shamir Secret Sharing in gf(2**8).

```shell
sudo pacman -S --needed libgfshare
```

`qrencode` and `imagemagick` (`convert`) are required to create and merge QR-codes during the split process.
One can pass `-q` to `enpapaer` to skip this step.

```shell
sudo pacman -S --needed qrencode imagemagick
```

`enscript` and `ghostscript` (`ps2pdf`) are required to create a PDF containing the split secret in text form.
One can pass `-t` to `enpaper` to skip this step.

```shell
sudo pacman -S --needed enscript ghostscript
```

## Usage

Create a file with secret content:

```shell
cat > secret.txt
```

Split the secret into 5 lines:

```shell
enpaper secret.txt
```

Manually delete up to 2 of the 5 lines in `secret.txt_txt.txt`.

Then recreate the secret:

```shell
depaper secret.txt.split-text.txt
```

Print the secret:

```shell
cat secret.txt.split-text.txt.merged.txt
```

## Notes

* https://en.wikipedia.org/Shamir's_Secret_Sharing

Manually reconstructing the secret from k strings:

* For each string of the k strings
  * Create a file which name begins with `part` and ends with a dot and the first three characters of the string
    * For example `part.112`
  * Convert the 3rd to last character from base64 to binary and insert it into the file
* Execute `gfcombine part.*`
* The file `part` contains the reconstructed secret
flask-schematics-swagger 0.0.6
Flask Swagger generator for Schematics models.
Requires Python: >=3.7

### Flask Schematics Swagger

[![PR](https://github.com/trK54Ylmz/flask-schematics-swagger/actions/workflows/pr.yaml/badge.svg)](https://github.com/trK54Ylmz/flask-schematics-swagger/actions/workflows/pr.yaml)
[![PyPI version](https://badge.fury.io/py/flask-schematics-swagger.svg)](https://badge.fury.io/py/flask-schematics-swagger)

Flask Swagger generator for Schematics models.

#### Install

Install library by using `pip` command,

```bash
$ pip3 install flask-schematics-swagger
```

#### Usage

```python
from flask import Flask, request
from fss import FlaskSchematicsSwagger

app = Flask('app')
fss = FlaskSchematicsSwagger(app)


@app.get('/users')
def get_users() -> dict:
    """
    Get list of users

    :parameter query integer user_id: the user id filter. default: None
    :response 200 schema.user.UserGetResponse:
    :return: flask response as dictionary
    """
    user_id = request.args.get('user_id')

    # ...

    return response.to_primitive()


if __name__ == '__main__':
    fss.add_route()
    app.run()
```