semvec/pypi-packages huggingface dataset:
filecryptor 1.0
Script to Help Encrypt and Decrypt File Using RSA Key.
Requires Python: >=3.7

Description: Script to Help Encrypt and Decrypt File Using RSA Key.

Install:
pip install filecryptor

	python -m filecryptor --m enc --file=test.txt --key=pub.key
	python -m filecryptor --m dec --file=test.txt.enc --key=private.key
	python -m filecryptor --m gen --keySize=2048

Send File Via Hidden Network: 
	python -m filecryptor --m send --file test.txt --host google.com --port 443
Create a Client to Receive From a Network:
	python -m filecryptor --m client --port 443 --file to_file


IMPORTANT NOTES AND BUGS:
	1. MAIN FILE WILL BE DELETED AFTER ENCRYPTION.
	2. ENCRYPTED FILE WILL BE DELETED AFTER DECRYPTION.
	3. MAXIMUM FILE SIZE IS 4GB. THIS LIMIT ALSO DEPENDS ON SYSTEM RAM.
	   MIGHT NOT WORK WITH LESS RAM. DONT WORRY FILE WONT BE DELETED IF FAILED.
melty-streaming 1.0
A http server made for streaming Melty Blood
Requires Python: >=3.6

# melty_streaming
A http server made for streaming Melty Blood

## Dependencies

 - [Python 3.6.x (Could be ran on a lower version, I haven't tested it yet.)](https://www.python.org/downloads/release/python-395/)
 - [flask](https://pypi.org/project/flask/)
 - [psutil](https://pypi.org/project/psutil/)
## Installation
Simply run `pip install melty-streaming`
picodoc 0.1.7
A small document database
Requires Python: >=3.6

# PicoDoc 📝

This is a document database module made for small-scale applications. Please don't use this module if your data is very important. It is not tested very extensively.

This project is on [pypi](https://pypi.org/project/picodoc/) and on [github](https://www.github.com/donkere-vader/picodb).

## Installation

The project is up on pypi (PYthon Package Index). So installing can be done using ``pip``.

Unix & Mac os X:

```sh
pip3 install picodoc
```

Windows:

```cmd
pip install picodoc
```

## ⚠ Notice

The objects are not really dicts and lists. So they do not support all functions of those objects.

List supports:

- [X] append
- [X] remove
- [x] iterating over values
- [X] item assignment using index
  - [X] ``del list[idx]``
  - [X] ``value = list[idx]``
  - [X] ``list[idx] = new_value``

Dict supports:

- [x] iterating over keys
- [X] item assignment using key
  - [X] ``del list[key]``
  - [X] ``value = list[key]``
  - [X] ``list[key] = new_value``

## Usage

Using the library should be very straight forward. Open a database with the ``picodoc.open_db`` function and use it as if it were a dict.

To get started import the module

```py
import picodoc
```

Then open the database. (The extension doesn't really matter, but I would suggest using something lile '.db' or '.picodoc')

```py
db = picodoc.open_db('database.picodoc')
```

Now just treat the db as af it were a basic (see [notice](#⚠_notice)) dictionary.

```py
db['users'] = {}
db['users']['donkere.v'] = {
    'name':  'Donkere Vader',
    'descprition': 'Cool dude 😎',
}
```

There are two ways of printing a document.

Either print it as a dict:

```py
print(db['users']['donkere.v'])

>>>
<Document donkere.v>
{
    'name':  'Donkere Vader',
    'descprition': 'Cool dude 😎',
}
```

Or print it as an object:

```py
# this will print it as if it were a document
# <Document {document key}>
print(db['users']['donkere.v'].object_repr())

>>>
<Document donkere.v>
```

### Tip

Use the [rich module](https://github.com/willmcgugan/rich) for beautiful output in the console.

## Testing

Testing is done via the ``runtests`` file.

To run all the tests simply do:

```sh
python3 runtests
```

(If you are on windows use ``python`` in stead of ``python3``)